Name: Social Media Automation using Python
Price: 82.99 GBP
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Learn about automated software testing with Python, BDD, Selenium WebDriver, and Postman, focusing on web applications
Welcome to the most comprehensive course on automated software testing with Python. Software testing is an essential skill for any developer, and this course will help you truly understand all types of test automation with Python. The focus of this course is on testing for the web-we'll be working with REST APIs and web applications, and technologies such as unittest, Postman, and Selenium WebDriver-ranging from operations such as mocking and patching using the unit test library (to reduce dependencies and turn complex tests into simple ones) to looking at all types of testing: simple unit tests to large system tests and even customer acceptance tests. Throughout the course we work on the Testing Pyramid concept, making sure that we have full coverage of every system component with unit tests. Then we test dependencies using integration tests. Finally, we cover the entire system using system tests. Of course, we also look at what acceptance testing is, how we come up with acceptance tests, and some of the best ways to write acceptance tests for a web application using Behavior-Driven Development and Selenium WebDriver. We also learn about implicit and explicit waits with Selenium WebDriver and Python, a key concept used to speed up the runtime of your acceptance tests. By implementing a Continuous Integration pipeline that runs your tests whenever you make any changes, you'll have much higher project quality so that you don't miss any annoying bugs. We'll look at putting our projects into GitHub and linking with them. All the codes and supporting files for this course are available at: https://github.com/PacktPublishing/Automated-Software-Testing-with-Python
What You Will Learn
Everything you need to know about automated software testing with Python (and how to enjoy testing, too!)
Common pitfalls and best practices when writing automated tests
Write complete system tests using Python and tools such as Postman
Automate your application testing by setting up a Continuous Integration pipeline using Travis CI
Browser-based acceptance testing using Behave and Selenium WebDriver
Audience
This course is designed for students who want to test their Python applications in order to build more complete solutions, professionals keen to learn more about automated software testing in their workplace, automated software testers, and software developers
Approach
A complete course packed with step-by-step instructions, working examples, and helpful advice
Key Features
Learn automated software testing with Python * Learn to write complete system tests using Python and tools such as Postman
Github Repo
https://github.com/packtpublishing/automated-software-testing-with-python
About the Author
Jose Salvatierra Fuentes
Jose, a passionate educator in the realm of coding and software development, has dedicated over 7 years to teaching online. He founded Teclado with a vision to democratize software development education, striving to ensure comprehensive understanding for his students. His approach makes learning coding a clear, rewarding journey, connecting the dots that once seemed obscure. Specializing in Python and JavaScript, Jose excels in web and backend development. He's proficient in various libraries and frameworks, including Flask, React, React Native, and AngularJS. His expertise extends to working with UNIX systems, MongoDB, PostgreSQL, and crafting advanced system architectures. Jose's commitment is to make the learning process both efficient and enjoyable, guiding students to mastery in software development.
Course Outline
1. Welcome
This section welcomes the course
1. Welcome to the course
Welcome: Welcome to the course
2. A Full Python Refresher
This section is about Python Refresher and includes lectures on Variables in Python, Methods, List, tuple and sets.
1. Variables in Python
A Full Python Refresher: Variables in Python
2. String formatting in Python
A Full Python Refresher: String formatting in Python
3. Getting user input
A Full Python Refresher: Getting user input
4. Writing our first Python app
A Full Python Refresher: Writing our first Python app
5. Lists, tuples, and sets
A Full Python Refresher: Lists, tuples, and sets
6. Advanced set operations
A Full Python Refresher: Advanced set operations
7. Booleans in Python
A Full Python Refresher: Booleans in Python
8. If statements
A Full Python Refresher: If statements
9. The 'in' keyword in Python
A Full Python Refresher: The 'in' keyword in Python
10. If statements with the 'in' keyword
A Full Python Refresher: If statements with the 'in' keyword
11. Loops in Python
A Full Python Refresher: Loops in Python
12. List comprehensions in Python
A Full Python Refresher: List comprehensions in Python
13. Dictionaries
A Full Python Refresher: Dictionaries
14. Destructuring variables
A Full Python Refresher: Destructuring variables
15. Functions in Python
A Full Python Refresher: Functions in Python
16. Function arguments and parameters
A Full Python Refresher: Function arguments and parameters
17. Default parameter values
A Full Python Refresher: Default parameter values
18. Functions returning values
A Full Python Refresher: Functions returning values
19. Lambda functions in Python
A Full Python Refresher: Lambda functions in Python
20. Dictionary comprehensions
A Full Python Refresher: Dictionary comprehensions
21. Unpacking arguments
A Full Python Refresher: Unpacking arguments
22. Unpacking keyword arguments
A Full Python Refresher: Unpacking keyword arguments
23. Object-Oriented Programming in Python
A Full Python Refresher: Object-Oriented Programming in Python
24. Magic methods: __str__ and __repr__
A Full Python Refresher: Magic methods: __str__ and __repr__
25. @classmethod and @staticmethod
A Full Python Refresher: @classmethod and @staticmethod
26. Class inheritance
A Full Python Refresher: Class inheritance
27. Class composition
A Full Python Refresher: Class composition
28. Type hinting in Python 3.5+
A Full Python Refresher: Type hinting in Python 3.5+
29. Imports in Python
A Full Python Refresher: Imports in Python
30. Relative imports in Python
A Full Python Refresher: Relative imports in Python
31. Errors in Python
A Full Python Refresher: Errors in Python
32. Custom error classes
A Full Python Refresher: Custom error classes
33. First-class functions
A Full Python Refresher: First-class functions
34. Simple decorators in Python
A Full Python Refresher: Simple decorators in Python
35. The 'at' syntax for decorators
A Full Python Refresher: The 'at' syntax for decorators
36. Decorating functions with parameters
A Full Python Refresher: Decorating functions with parameters
37. Decorators with parameters
A Full Python Refresher: Decorators with parameters
38. Mutability in Python
A Full Python Refresher: Mutability in Python
39. Mutable default parameters (and why they're a bad idea)
A Full Python Refresher: Mutable default parameters (and why they're a bad idea)
3. Your first automated software test
In this section, you will do your first automated software test. This shows Setting up project, writing first test, testing dictionary equivalence and lot more.
1. Introduction to this section
Your first automated software test: Introduction to this section
2. Setting up our project
Your first automated software test: Setting up our project
3. Writing our first test
Your first automated software test: Writing our first test
4. Testing dictionary equivalence
Your first automated software test: Testing dictionary equivalence
5. Writing blog tests and PyCharm run configurations
Your first automated software test: Writing blog tests and PyCharm run configurations
6. The __repr__ method, and intro to TDD
Your first automated software test: The __repr__ method, and intro to TDD
7. Integration tests and finishing the blog
Your first automated software test: Integration tests and finishing the blog
8. Mocking, patching, and system tests
Your first automated software test: Mocking, patching, and system tests
9. Patching the input method and returning values
Your first automated software test: Patching the input method and returning values
10. Taking our patching further
Your first automated software test: Taking our patching further
11. The last few patches!
Your first automated software test: The last few patches!
12. The TestCase setUp method
Your first automated software test: The TestCase setUp method
13. Conclusion of this section
Your first automated software test: Conclusion of this section
4. Testing a Flask Endpoint
This section is about testing a Flask Endpoint and includes lectures on Setting up project, creating our flask app, refactoring the system tests and so on.
1. Introduction to this section
Testing a Flask Endpoint: Introduction to this section
2. Setting our project up
Testing a Flask Endpoint: Setting our project up
3. Creating our Flask app
Testing a Flask Endpoint: Creating our Flask app
4. Our first System test
Testing a Flask Endpoint: Our first System test
5. Refactoring our System Tests
Testing a Flask Endpoint: Refactoring our System Tests
6. Conclusion of this section
Testing a Flask Endpoint: Conclusion of this section
5. REST API Testing, Part I
This section includes REST API Testing.
1. Introduction to this section
REST API Testing, Part I: Introduction to this section
2. A look at a REST API with Flask
REST API Testing, Part I: A look at a REST API with Flask
3. Unit testing a REST API
REST API Testing, Part I: Unit testing a REST API
4. Setting up our generic BaseTest
REST API Testing, Part I: Setting up our generic BaseTest
5. Integration testing a REST API
REST API Testing, Part I: Integration testing a REST API
6. Conclusion of this section
REST API Testing, Part I: Conclusion of this section
6. REST API Testing, Part II
This section is about REST API Testing
1. Introduction to this section
REST API Testing, Part II: Introduction to this section
2. Setting up our project
REST API Testing, Part II: Setting up our project
3. Testing foreign key constraints with Python
REST API Testing, Part II: Testing foreign key constraints with Python
4. Unit testing models and SQLAlchemy mappers
REST API Testing, Part II: Unit testing models and SQLAlchemy mappers
5. Finishing our Store tests
REST API Testing, Part II: Finishing our Store tests
6. Conclusion of this section
REST API Testing, Part II: Conclusion of this section
7. System testing a REST API
This section is about System testing a REST API
1. Introduction to this section
System testing a REST API: Introduction to this section
2. Setting project up and creating User model
System testing a REST API: Setting project up and creating User model
3. Allowing users to log in
System testing a REST API: Allowing users to log in
4. Writing our User tests
System testing a REST API: Writing our User tests
5. The setUpClass method in the BaseTest
System testing a REST API: The setUpClass method in the BaseTest
6. Testing user registration
System testing a REST API: Testing user registration
7. Finalising user System tests
System testing a REST API: Finalising user System tests
8. Writing Store System tests
System testing a REST API: Writing Store System tests
9. Writing our Item System tests and testing authentication
System testing a REST API: Writing our Item System tests and testing authentication
10. Conclusion of this section
System testing a REST API: Conclusion of this section
8. System testing with Postman and Newman
This section involves System testing with Postman and Newman.
1. Introduction to this section
System testing with Postman and Newman: Introduction to this section
2. Introduction to Postman
System testing with Postman and Newman: Introduction to Postman
3. Our first Posman tests
System testing with Postman and Newman: Our first Posman tests
4. Setting and clearing environment variables in Postman
System testing with Postman and Newman: Setting and clearing environment variables in Postman
5. Running a test folder in Postman
System testing with Postman and Newman: Running a test folder in Postman
6. Advanced PyCharm run configurations
System testing with Postman and Newman: Advanced PyCharm run configurations
7. Installing Node and Newman
System testing with Postman and Newman: Installing Node and Newman
8. Multirun in PyCharm-Running app and tests together
System testing with Postman and Newman: Multirun in PyCharm-Running app and tests together
9. Conclusion of this section
System testing with Postman and Newman: Conclusion of this section
9. Continuous Integration with Travis CI
This section is about Continuous Integration with Travis CI
1. Introduction to this section
Continuous Integration with Travis CI: Introduction to this section
2. Installing Git
Continuous Integration with Travis CI: Installing Git
3. What is a Git repository?
Continuous Integration with Travis CI: What is a Git repository?
4. A local Git workflow
Continuous Integration with Travis CI: A local Git workflow
5. GitHub and remote repositories
Continuous Integration with Travis CI: GitHub and remote repositories
6. Adding our project to GitHub
Continuous Integration with Travis CI: Adding our project to GitHub
7. What is Travis CI?
Continuous Integration with Travis CI: What is Travis CI?
8. Adding our repository to Travis
Continuous Integration with Travis CI: Adding our repository to Travis
9. The Travis config file and running tests
Continuous Integration with Travis CI: The Travis config file and running tests
10. Adding our test badge to the Readme
Continuous Integration with Travis CI: Adding our test badge to the Readme
11. Conclusion of this section
Continuous Integration with Travis CI: Conclusion of this section
10. Acceptance testing and browser automation with Selenium
This section is about Acceptance testing and browser automation with Selenium in detail.
1. Introduction to this section
Acceptance testing and browser automation with Selenium: Introduction to this section
2. What is acceptance testing?
Acceptance testing and browser automation with Selenium: What is acceptance testing?
3. Introduction to our project
Acceptance testing and browser automation with Selenium: Introduction to our project
4. Our first acceptance test step
Acceptance testing and browser automation with Selenium: Our first acceptance test step
5. Getting the Chrome webdriver
Acceptance testing and browser automation with Selenium: Getting the Chrome webdriver
6. Verifying everything works
Acceptance testing and browser automation with Selenium: Verifying everything works
7. Finishing our first test
Acceptance testing and browser automation with Selenium: Finishing our first test
8. Re-using steps with the regular expression matcher
Acceptance testing and browser automation with Selenium: Re-using steps with the regular expression matcher
9. Our first content test
Acceptance testing and browser automation with Selenium: Our first content test
10. Page locators and models
Acceptance testing and browser automation with Selenium: Page locators and models
11. The blog page
Acceptance testing and browser automation with Selenium: The blog page
12. Using pages in navigation
Acceptance testing and browser automation with Selenium: Using pages in navigation
13. Don't over-generalise tests!
Acceptance testing and browser automation with Selenium: Don't over-generalise tests!
14. Waits and timeouts with Selenium
Acceptance testing and browser automation with Selenium: Waits and timeouts with Selenium
15. Debugging acceptance tests in PyCharm
Acceptance testing and browser automation with Selenium: Debugging acceptance tests in PyCharm
16. Our final complex scenario
Acceptance testing and browser automation with Selenium: Our final complex scenario
17. Filling in forms with Selenium
Acceptance testing and browser automation with Selenium: Filling in forms with Selenium
18. Conclusion of this section
Acceptance testing and browser automation with Selenium: Conclusion of this section

Packt

Postman

Python

Programming

Learn about automated software testing with Python, BDD, Selenium WebDriver, and Postman, focusing on web applications

Automated Software Testing with Python

General Admission

<strong>Learn to write scalable, reusable, and maintainable code by leveraging the OOP concepts in Python. This comprehensive OOP course covers essential concepts, such as encapsulation, inheritance, and polymorphism. The last section of this course covers a real-world library management system project.</strong>
        <p>Object-Oriented Programming (OOP) is a crucial paradigm in modern programming that allows developers to write efficient, modular, and scalable code. It helps in organizing code, creating reusable and maintainable code, and improving code readability.

In this course, we will dive deep into OOP concepts and provide you with a solid understanding of the fundamentals, advanced topics, and real-world applications of OOP in Python. This course covers a wide range of topics, starting with the basics of OOP, including classes, objects, attributes, methods, and constructors. You will learn about encapsulation, abstraction, inheritance, and polymorphism, which are the building blocks of OOP. You will also explore advanced concepts such as class methods, static methods, operator overloading, and dunder methods, along with practical examples and exercises to solidify your understanding.

To apply the concepts learned, you will build a real-world project, the Library Management System, where you will learn to create classes, objects, and methods for managing books and users. You will also gain hands-on experience with method overriding, multiple inheritances, and other advanced topics while building practical applications.

By the end of this course, you will have a deep understanding of OOP concepts in Python, be able to build robust and scalable applications using OOP principles, and possess the skills to write clean, efficient, and maintainable Python code.</p>
        <h2>What You Will Learn</h2><p>Understand the fundamentals of Object-Oriented Programming in Python<br>Build real-world projects using OOP concepts in Python<br>Apply polymorphism in object-oriented styles using multiple strategies<br>Implement OOP principles to create reusable and maintainable Python code<br>Build a Library Management System using OOP concepts<br>Master the use of classes, objects, attributes, methods, and constructors in Python</p>
        <h2>Audience</h2><p>This course is tailored for programmers and developers who aspire to deepen their understanding of Object-Oriented Programming (OOP) concepts and apply them in real-world applications. It is well-suited for beginners who are already familiar with Python basics and are looking to transition into OOP programming. Intermediate Python developers seeking to enhance their coding skills and learn advanced OOP topics will also find value in this course.<br><br>Prior knowledge of Python programming concepts is required, including variables, data types, loops, and functions. If you are eager to learn and apply OOP principles practically in Python, this comprehensive course will provide you with the knowledge and skills needed to succeed.</p>
        <h2>Approach</h2><p>The course adopts a practical and hands-on learning approach, combining theoretical concepts with practical examples and exercises. You will learn through coding demonstrations, real-world projects, and application of OOP principles in Python. The course emphasizes active learning, allowing you to build your own coding skills and gain confidence in applying OOP concepts in real-world scenarios.</p>
        <h2>Key Features</h2><p>In-depth exploration of OOP concepts, including classes, objects, attributes, and methods * Detailed coverage of core OOP topics, such as encapsulation, inheritance, and polymorphism * Practical examples and exercises to reinforce understanding and application of OOP principles</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-for-OOP---The-A-to-Z-OOP-Python-Programming-Course</p>
        <h2>About the Author</h2><h3>Meta Brains</h3><p>Meta Brains is a professional training brand developed by a team of software developers and finance professionals who have a passion for finance, coding, and Excel. They bring together both professional and educational experiences to create world-class training programs accessible to everyone.

Currently, they're focused on the next great revolution in computing: The Metaverse. Their ultimate objective is to train the next generation of talent so that we can code and build the metaverse together!</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Object-Oriented Programming</p><p style='margin: 0'>In this video, you will learn the basics of object-oriented programming. You will understand the concept of objects and classes, and this video will provide a comprehensive overview of OOP in Python and its advantages.</p></td></tr></tbody></table><br><h4>2. Classes and Objects</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Create Your First Class with OOP</p><p style='margin: 0'>In this video, you will learn how to create your first class in Python using OOP principles. You will understand the syntax for defining a class, creating objects, and initializing attributes. This video will provide a step-by-step guide on creating a basic class structure and using it to instantiate objects.</p></td></tr><tr><td style='padding: 15px;'><p>2. Classes in Detail</p><p style='margin: 0'>In this video, you will take an in-depth look at classes in Python, including their structure, usage, and benefits. You will also explore the importance of __init__ and self in class code, using practical examples for better understanding.</p></td></tr><tr><td style='padding: 15px;'><p>3. Exercise on Class</p><p style='margin: 0'>In this video, you will apply what you have learned about classes through a practical exercise. You will be given a problem statement and will learn how to design and implement a class to solve the problem. This exercise will help you reinforce your understanding of class concepts and gain hands-on experience in creating classes.</p></td></tr><tr><td style='padding: 15px;'><p>4. Methods</p><p style='margin: 0'>In this video, you will learn about methods, which are functions defined within a class. You will understand the different types of methods, such as instance methods, class methods, and static methods, and how to use them in your classes. This video will provide a comprehensive overview of methods and their usage in Python classes.</p></td></tr><tr><td style='padding: 15px;'><p>5. Exercise 1 on Methods</p><p style='margin: 0'>In this video, you will apply what you have learned about methods through a practical exercise. You will be given a problem statement and will learn how to design and implement methods to solve the problem. This exercise will help you reinforce your understanding of different types of methods and their implementation.</p></td></tr><tr><td style='padding: 15px;'><p>6. Exercise 2 on Methods</p><p style='margin: 0'>In this video, you will continue to apply your knowledge of methods through another practical exercise. You will be given a more complex problem statement and will learn how to design and implement methods to solve the problem. This exercise will challenge you to think critically and apply your knowledge of methods effectively.</p></td></tr><tr><td style='padding: 15px;'><p>7. Class Variables</p><p style='margin: 0'>In this video, you will learn about class variables, which are shared by all instances of a class. You will understand how to define and use class variables, and how they differ from instance variables. This video will provide a comprehensive understanding of class variables and their usage in Python classes.</p></td></tr><tr><td style='padding: 15px;'><p>8. Exercise on Class Variables</p><p style='margin: 0'>In this video, you will explore class variables in Python OOP, how they differ from instance variables, and their use cases in creating shared attributes among class instances.</p></td></tr><tr><td style='padding: 15px;'><p>9. Object Techniques + Class Variables (Part 1)</p><p style='margin: 0'>In this video, you will dive into an exercise on class variables, where you will practice creating and manipulating class variables to understand their behavior and usage in OOP.</p></td></tr><tr><td style='padding: 15px;'><p>10. Object Techniques + Class Variables (Part 2)</p><p style='margin: 0'>In this video, you will explore advanced object techniques in Python, such as using class variables in conjunction with objects to create powerful and dynamic OOP structures.</p></td></tr><tr><td style='padding: 15px;'><p>11. Issue in Class</p><p style='margin: 0'>In this video, you will continue our exploration of object techniques in Python OOP, focusing on more advanced usage of class variables, including class methods and inheritance.</p></td></tr></tbody></table><br><h4>3. Types of Methods</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Class Method (Part 1)</p><p style='margin: 0'>In this video, you will dive into the concept of class methods in Python. You will learn how to define and use class methods, which are methods that are bound to the class and not the instance of the class. This video will cover the basics of class methods and their syntax.</p></td></tr><tr><td style='padding: 15px;'><p>2. Class Method (Part 2)</p><p style='margin: 0'>Building upon the previous video, this video will provide further insights into class methods in Python. You will learn about the @classmethod. This video will deepen your understanding of class methods and their advanced usage.</p></td></tr><tr><td style='padding: 15px;'><p>3. Static Method</p><p style='margin: 0'>In this video, you will explore static methods in Python. You will understand the concept of static methods, which are methods that do not depend on the state of the instance or the class, and how to define and use them in your classes. This video will provide a comprehensive overview of static methods and their usage in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Exercise on Static Method (Part 1)</p><p style='margin: 0'>In this video, you will apply what you have learned about static methods through a practical exercise. You will be given a problem statement and will learn how to design and implement static methods to solve the problem. This exercise will help you reinforce your understanding of static methods and their implementation.</p></td></tr><tr><td style='padding: 15px;'><p>5. Exercise on Static Method (Part 2)</p><p style='margin: 0'>Continuing from the previous video, this exercise will provide further challenges in designing and implementing static methods to solve complex problems. You will apply your knowledge of static methods and their advanced usage to tackle real-world scenarios. This exercise will enhance your problem-solving skills and deepen your understanding of static methods.</p></td></tr><tr><td style='padding: 15px;'><p>6. Exercise on Static Method (Part 3)</p><p style='margin: 0'>In this video, you will continue to apply your knowledge of static methods through another practical exercise. You will be given more challenging problem statements and will learn how to design and implement static methods to solve them. This exercise will further refine your skills in using static methods effectively in Python classes.</p></td></tr></tbody></table><br><h4>4. OOP Building Blocks</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Abstraction and Encapsulation</p><p style='margin: 0'>In this video, you will learn about abstraction and encapsulation, two important principles of OOP. You will understand how abstraction allows you to hide complex details and expose only the essential features of a class, and how encapsulation allows you to restrict access to the internal state of objects. This video will provide a clear understanding of abstraction and encapsulation and their significance in writing robust and maintainable code.</p></td></tr><tr><td style='padding: 15px;'><p>2. Introduction to Inheritance</p><p style='margin: 0'>Building upon the previous video, this video will introduce you to the concept of inheritance in Python. You will learn how to create and use subclasses that inherit attributes and methods from a parent class. This video will cover the basics of inheritance, including single inheritance, and how it promotes code reuse and extensibility.</p></td></tr><tr><td style='padding: 15px;'><p>3. Multilevel Inheritance: Part 1</p><p style='margin: 0'>In this video, you will explore the concept of multilevel inheritance in Python. You will learn how to create classes that inherit from multiple levels of parent classes, allowing for a more complex class hierarchy. This video will provide in-depth explanations of multilevel inheritance and its usage in OOP.</p></td></tr><tr><td style='padding: 15px;'><p>4. Multiple Inheritance: Part 2</p><p style='margin: 0'>Continuing from the previous video, this video will cover multiple inheritance in Python, which allows a class to inherit from more than one parent class. You will learn about the method resolution order (MRO) and how to handle conflicts that may arise from multiple inheritance. This video will provide comprehensive insights into multiple inheritance and its advanced usage.</p></td></tr><tr><td style='padding: 15px;'><p>5. Method Overriding and MRO</p><p style='margin: 0'>In this video, you will learn about method overriding, which allows a subclass to provide a new implementation of a method inherited from a parent class. You will also understand the concept of method resolution order (MRO), which determines the order in which Python looks for methods in a class hierarchy. This video will provide a thorough understanding of method overriding and MRO in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. isinstance() and issubclass()</p><p style='margin: 0'>In this video, you will learn about the isinstance() and issubclass() built-in functions in Python, which are used to determine object types and class relationships, respectively. You will understand how to use these functions to check if an object is an instance of a particular class or if a class is a subclass of another class. This video will provide practical examples and use cases of isinstance() and issubclass().</p></td></tr><tr><td style='padding: 15px;'><p>7. Naming Convention</p><p style='margin: 0'>In this video, you will learn about naming conventions in Python classes and objects. You will understand the importance of following naming conventions for better code readability and maintainability. This video will cover the commonly used naming conventions for classes, methods, attributes, and other elements in Python, and best practices for naming conventions.</p></td></tr><tr><td style='padding: 15px;'><p>8. Name Mangling in Python</p><p style='margin: 0'>In this video, you will explore name mangling in Python, a technique to change class attribute names to avoid conflicts. You will learn how to create private attributes using name mangling and understand the rules and conventions associated with it.</p></td></tr><tr><td style='padding: 15px;'><p>9. Dunder Methods or Magic Methods</p><p style='margin: 0'>In this video, you will dive into dunder (double underscore) methods or magic methods in Python. You will learn how these special methods allow you to customize the behavior of classes and objects and gain a deep understanding of their practical applications.</p></td></tr><tr><td style='padding: 15px;'><p>10. Operator Overloading</p><p style='margin: 0'>In this video, you will learn about operator overloading in Python, which allows you to redefine the behavior of operators for custom classes. You will learn how to implement operator overloading to make your classes more powerful and flexible.</p></td></tr><tr><td style='padding: 15px;'><p>11. Polymorphism</p><p style='margin: 0'>In this video, you will explore the concept of polymorphism, a fundamental concept in OOP, and how it enables objects of different classes to be used interchangeably. You will learn about different types of polymorphism, including method overriding and operator overloading, and understand their applications in Python.</p></td></tr></tbody></table><br><h4>5. Python OOP Project: Library Management System</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Python OOP Project: Part 1</p><p style='margin: 0'>In this video, you will start building the library management system project. You will create a library object that includes the name of the owner and a list of all the books available in the library. You will then implement functions to create, add, and retrieve books in the library. This video will provide a comprehensive overview of the project and set the foundation for further development.</p></td></tr><tr><td style='padding: 15px;'><p>2. Python OOP Project: Part 2</p><p style='margin: 0'>Continuing from the previous video, you will pick up where you left off and correct any errors in the code. You will then work on the execution part of the Library Management System project, including implementing functionalities to update and delete books from the library. This video will provide practical demonstrations of how to further enhance the functionality of the library management system project.</p></td></tr></tbody></table>

Learn to write scalable, reusable, and maintainable code by leveraging the OOP concepts in Python. This comprehensive OOP course covers essential concepts, such as encapsulation, inheritance, and polymorphism. The last section of this course covers a real-world library management system project.
Object-Oriented Programming (OOP) is a crucial paradigm in modern programming that allows developers to write efficient, modular, and scalable code. It helps in organizing code, creating reusable and maintainable code, and improving code readability. In this course, we will dive deep into OOP concepts and provide you with a solid understanding of the fundamentals, advanced topics, and real-world applications of OOP in Python. This course covers a wide range of topics, starting with the basics of OOP, including classes, objects, attributes, methods, and constructors. You will learn about encapsulation, abstraction, inheritance, and polymorphism, which are the building blocks of OOP. You will also explore advanced concepts such as class methods, static methods, operator overloading, and dunder methods, along with practical examples and exercises to solidify your understanding. To apply the concepts learned, you will build a real-world project, the Library Management System, where you will learn to create classes, objects, and methods for managing books and users. You will also gain hands-on experience with method overriding, multiple inheritances, and other advanced topics while building practical applications. By the end of this course, you will have a deep understanding of OOP concepts in Python, be able to build robust and scalable applications using OOP principles, and possess the skills to write clean, efficient, and maintainable Python code.
What You Will Learn
Understand the fundamentals of Object-Oriented Programming in Python
Build real-world projects using OOP concepts in Python
Apply polymorphism in object-oriented styles using multiple strategies
Implement OOP principles to create reusable and maintainable Python code
Build a Library Management System using OOP concepts
Master the use of classes, objects, attributes, methods, and constructors in Python
Audience
This course is tailored for programmers and developers who aspire to deepen their understanding of Object-Oriented Programming (OOP) concepts and apply them in real-world applications. It is well-suited for beginners who are already familiar with Python basics and are looking to transition into OOP programming. Intermediate Python developers seeking to enhance their coding skills and learn advanced OOP topics will also find value in this course.

Prior knowledge of Python programming concepts is required, including variables, data types, loops, and functions. If you are eager to learn and apply OOP principles practically in Python, this comprehensive course will provide you with the knowledge and skills needed to succeed.
Approach
The course adopts a practical and hands-on learning approach, combining theoretical concepts with practical examples and exercises. You will learn through coding demonstrations, real-world projects, and application of OOP principles in Python. The course emphasizes active learning, allowing you to build your own coding skills and gain confidence in applying OOP concepts in real-world scenarios.
Key Features
In-depth exploration of OOP concepts, including classes, objects, attributes, and methods * Detailed coverage of core OOP topics, such as encapsulation, inheritance, and polymorphism * Practical examples and exercises to reinforce understanding and application of OOP principles
Github Repo
https://github.com/PacktPublishing/Python-for-OOP---The-A-to-Z-OOP-Python-Programming-Course
About the Author
Meta Brains
Meta Brains is a professional training brand developed by a team of software developers and finance professionals who have a passion for finance, coding, and Excel. They bring together both professional and educational experiences to create world-class training programs accessible to everyone. Currently, they're focused on the next great revolution in computing: The Metaverse. Their ultimate objective is to train the next generation of talent so that we can code and build the metaverse together!
Course Outline
1. Introduction

1. Introduction to Object-Oriented Programming
In this video, you will learn the basics of object-oriented programming. You will understand the concept of objects and classes, and this video will provide a comprehensive overview of OOP in Python and its advantages.
2. Classes and Objects

1. Create Your First Class with OOP
In this video, you will learn how to create your first class in Python using OOP principles. You will understand the syntax for defining a class, creating objects, and initializing attributes. This video will provide a step-by-step guide on creating a basic class structure and using it to instantiate objects.
2. Classes in Detail
In this video, you will take an in-depth look at classes in Python, including their structure, usage, and benefits. You will also explore the importance of __init__ and self in class code, using practical examples for better understanding.
3. Exercise on Class
In this video, you will apply what you have learned about classes through a practical exercise. You will be given a problem statement and will learn how to design and implement a class to solve the problem. This exercise will help you reinforce your understanding of class concepts and gain hands-on experience in creating classes.
4. Methods
In this video, you will learn about methods, which are functions defined within a class. You will understand the different types of methods, such as instance methods, class methods, and static methods, and how to use them in your classes. This video will provide a comprehensive overview of methods and their usage in Python classes.
5. Exercise 1 on Methods
In this video, you will apply what you have learned about methods through a practical exercise. You will be given a problem statement and will learn how to design and implement methods to solve the problem. This exercise will help you reinforce your understanding of different types of methods and their implementation.
6. Exercise 2 on Methods
In this video, you will continue to apply your knowledge of methods through another practical exercise. You will be given a more complex problem statement and will learn how to design and implement methods to solve the problem. This exercise will challenge you to think critically and apply your knowledge of methods effectively.
7. Class Variables
In this video, you will learn about class variables, which are shared by all instances of a class. You will understand how to define and use class variables, and how they differ from instance variables. This video will provide a comprehensive understanding of class variables and their usage in Python classes.
8. Exercise on Class Variables
In this video, you will explore class variables in Python OOP, how they differ from instance variables, and their use cases in creating shared attributes among class instances.
9. Object Techniques + Class Variables (Part 1)
In this video, you will dive into an exercise on class variables, where you will practice creating and manipulating class variables to understand their behavior and usage in OOP.
10. Object Techniques + Class Variables (Part 2)
In this video, you will explore advanced object techniques in Python, such as using class variables in conjunction with objects to create powerful and dynamic OOP structures.
11. Issue in Class
In this video, you will continue our exploration of object techniques in Python OOP, focusing on more advanced usage of class variables, including class methods and inheritance.
3. Types of Methods

1. Class Method (Part 1)
In this video, you will dive into the concept of class methods in Python. You will learn how to define and use class methods, which are methods that are bound to the class and not the instance of the class. This video will cover the basics of class methods and their syntax.
2. Class Method (Part 2)
Building upon the previous video, this video will provide further insights into class methods in Python. You will learn about the @classmethod. This video will deepen your understanding of class methods and their advanced usage.
3. Static Method
In this video, you will explore static methods in Python. You will understand the concept of static methods, which are methods that do not depend on the state of the instance or the class, and how to define and use them in your classes. This video will provide a comprehensive overview of static methods and their usage in Python.
4. Exercise on Static Method (Part 1)
In this video, you will apply what you have learned about static methods through a practical exercise. You will be given a problem statement and will learn how to design and implement static methods to solve the problem. This exercise will help you reinforce your understanding of static methods and their implementation.
5. Exercise on Static Method (Part 2)
Continuing from the previous video, this exercise will provide further challenges in designing and implementing static methods to solve complex problems. You will apply your knowledge of static methods and their advanced usage to tackle real-world scenarios. This exercise will enhance your problem-solving skills and deepen your understanding of static methods.
6. Exercise on Static Method (Part 3)
In this video, you will continue to apply your knowledge of static methods through another practical exercise. You will be given more challenging problem statements and will learn how to design and implement static methods to solve them. This exercise will further refine your skills in using static methods effectively in Python classes.
4. OOP Building Blocks

1. Abstraction and Encapsulation
In this video, you will learn about abstraction and encapsulation, two important principles of OOP. You will understand how abstraction allows you to hide complex details and expose only the essential features of a class, and how encapsulation allows you to restrict access to the internal state of objects. This video will provide a clear understanding of abstraction and encapsulation and their significance in writing robust and maintainable code.
2. Introduction to Inheritance
Building upon the previous video, this video will introduce you to the concept of inheritance in Python. You will learn how to create and use subclasses that inherit attributes and methods from a parent class. This video will cover the basics of inheritance, including single inheritance, and how it promotes code reuse and extensibility.
3. Multilevel Inheritance: Part 1
In this video, you will explore the concept of multilevel inheritance in Python. You will learn how to create classes that inherit from multiple levels of parent classes, allowing for a more complex class hierarchy. This video will provide in-depth explanations of multilevel inheritance and its usage in OOP.
4. Multiple Inheritance: Part 2
Continuing from the previous video, this video will cover multiple inheritance in Python, which allows a class to inherit from more than one parent class. You will learn about the method resolution order (MRO) and how to handle conflicts that may arise from multiple inheritance. This video will provide comprehensive insights into multiple inheritance and its advanced usage.
5. Method Overriding and MRO
In this video, you will learn about method overriding, which allows a subclass to provide a new implementation of a method inherited from a parent class. You will also understand the concept of method resolution order (MRO), which determines the order in which Python looks for methods in a class hierarchy. This video will provide a thorough understanding of method overriding and MRO in Python.
6. isinstance() and issubclass()
In this video, you will learn about the isinstance() and issubclass() built-in functions in Python, which are used to determine object types and class relationships, respectively. You will understand how to use these functions to check if an object is an instance of a particular class or if a class is a subclass of another class. This video will provide practical examples and use cases of isinstance() and issubclass().
7. Naming Convention
In this video, you will learn about naming conventions in Python classes and objects. You will understand the importance of following naming conventions for better code readability and maintainability. This video will cover the commonly used naming conventions for classes, methods, attributes, and other elements in Python, and best practices for naming conventions.
8. Name Mangling in Python
In this video, you will explore name mangling in Python, a technique to change class attribute names to avoid conflicts. You will learn how to create private attributes using name mangling and understand the rules and conventions associated with it.
9. Dunder Methods or Magic Methods
In this video, you will dive into dunder (double underscore) methods or magic methods in Python. You will learn how these special methods allow you to customize the behavior of classes and objects and gain a deep understanding of their practical applications.
10. Operator Overloading
In this video, you will learn about operator overloading in Python, which allows you to redefine the behavior of operators for custom classes. You will learn how to implement operator overloading to make your classes more powerful and flexible.
11. Polymorphism
In this video, you will explore the concept of polymorphism, a fundamental concept in OOP, and how it enables objects of different classes to be used interchangeably. You will learn about different types of polymorphism, including method overriding and operator overloading, and understand their applications in Python.
5. Python OOP Project: Library Management System

1. Python OOP Project: Part 1
In this video, you will start building the library management system project. You will create a library object that includes the name of the owner and a list of all the books available in the library. You will then implement functions to create, add, and retrieve books in the library. This video will provide a comprehensive overview of the project and set the foundation for further development.
2. Python OOP Project: Part 2
Continuing from the previous video, you will pick up where you left off and correct any errors in the code. You will then work on the execution part of the Library Management System project, including implementing functionalities to update and delete books from the library. This video will provide practical demonstrations of how to further enhance the functionality of the library management system project.

Learn to write scalable, reusable, and maintainable code by leveraging the OOP concepts in Python. This comprehensive OOP course covers essential concepts, such as encapsulation, inheritance, and polymorphism. The last section of this course covers a real-world library management system project.

Python for OOP - The A to Z OOP Python Programming Course

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					<div><p>Have you ever envisioned molding digital worlds with just lines of code, but felt lost about where to begin? Enter Python For Beginners Part 1 Course, your gateway to the digital realm. Every epic saga has its genesis, and in the world of programming, this course is yours. With Module 01, you'll be introduced to the very essence of Python, laying a robust foundation for what's to come.</p><p>Python is one of the most in-demand programming languages in the world today, and for good reason. It's easy to learn, powerful, and versatile. Whether you want to build websites, create data science applications, or automate tasks, Python can help you do it.</p><p>By Module 02, you won't just be learning about Python, you'll be actively crafting with it, initiating your first Python scripts. It's one thing to know a language, but entirely another to converse fluently. Modules 03 and 04 are all about that fluency. Here, you'll decipher the language of Data Types and Operators, and understand the art of organizing with Data Structures. These modules ensure you're not just coding, but conversing, making your digital canvas come alive.</p><p>However, what's an artist without control over their palette? Module 05, focusing on Control Flow, gives you the reins to guide your program's direction. Just as a river's flow is directed by its banks, with control flow, you decide where your program's logic flows. By the end, you won't just be a passive observer but an active creator, shaping digital landscapes and setting forth on an unforgettable coding adventure.</p><p>Enrol in the Python For Beginners Part 1 Course and boost up your skills!</p></div>
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			<h2><b> Learning outcome</b></h2>		</div>
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										<span>Gain proficiency in Python programming language.</span>
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										<span>Master basic to advanced Python concepts and syntax.</span>
									</li>
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											<span>
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										<span>Develop problem-solving skills using Python.</span>
									</li>
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													</span>
										<span>Understand Python data types and how to manipulate them.</span>
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										<span>Learn to create reusable codes with functions and classes.</span>
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			<h2> <b>Why should I take this course?</b></h2>		</div>
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										<span>Learn a versatile and widely used language for effective coding.</span>
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										<span>Enhance your problem-solving and logical thinking skills.</span>
									</li>
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										<span>Expand your career opportunities in tech, data science, and AI.</span>
									</li>
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										<span>Develop a skill set that allows you to automate tasks and analyze data.</span>
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										<span>Increase your confidence in coding and algorithm development.</span>
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			<h2> <b>Career Path</b></h2>		</div>
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										<span>Python Developer</span>
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										<span>Data Scientist</span>
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										<span>Machine Learning Engineer</span>
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										<span>Software Engineer (specialising in Python)</span>
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										<span>DevOps Engineer (using Python scripting)</span>
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			<h2> <b>Requirements</b></h2>		</div>
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										<span>A computer with internet access.</span>
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										<span>No prior knowledge of Python or programming is required.</span>
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										<span>Eagerness to learn and explore Python programming.</span>
									</li>
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                                <h2>Course Curriculum</h2>
                            </div>
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<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong>Module 01: Introduction to the Python for Beginners Course</strong></td>
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					<td>▶</td>
					<td>Introduction to the Python for Beginners Course</td><td><span>🕐 00:08:00</span></td>
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					<td colspan="4"><strong>Module 02: Getting Started with Python</strong></td>
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					<td>▶</td>
					<td>Getting Started with Python</td><td><span>🕐 00:53:00</span></td>
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					<td colspan="4"><strong>Module 03: Data Types and Operators</strong></td>
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					<td>▶</td>
					<td>Data Types and Operators</td><td><span>🕐 01:54:00</span></td>
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					<td colspan="4"><strong>Module 04: Data Structures</strong></td>
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					<td>Data Structures</td><td><span>🕐 01:59:00</span></td>
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					<td colspan="4"><strong>Module 05: Control Flow</strong></td>
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					<td>▶</td>
					<td>Control Flow</td><td><span>🕐 01:14:00</span></td>
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				</tbody></table></div>

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		                        </div>

Have you ever envisioned molding digital worlds with just lines of code, but felt lost about where to begin? Enter Python For Beginners Part 1 Course, your gateway to the digital realm. Every epic saga has its genesis, and in the world of programming, this course is yours. With Module 01, you'll be introduced to the very essence of Python, laying a robust foundation for what's to come.
Python is one of the most in-demand programming languages in the world today, and for good reason. It's easy to learn, powerful, and versatile. Whether you want to build websites, create data science applications, or automate tasks, Python can help you do it.
By Module 02, you won't just be learning about Python, you'll be actively crafting with it, initiating your first Python scripts. It's one thing to know a language, but entirely another to converse fluently. Modules 03 and 04 are all about that fluency. Here, you'll decipher the language of Data Types and Operators, and understand the art of organizing with Data Structures. These modules ensure you're not just coding, but conversing, making your digital canvas come alive.
However, what's an artist without control over their palette? Module 05, focusing on Control Flow, gives you the reins to guide your program's direction. Just as a river's flow is directed by its banks, with control flow, you decide where your program's logic flows. By the end, you won't just be a passive observer but an active creator, shaping digital landscapes and setting forth on an unforgettable coding adventure.
Enrol in the Python For Beginners Part 1 Course and boost up your skills!
 Learning outcome
Gain proficiency in Python programming language.
Master basic to advanced Python concepts and syntax.
Develop problem-solving skills using Python.
Understand Python data types and how to manipulate them.
Learn to create reusable codes with functions and classes.
 Why should I take this course?
Learn a versatile and widely used language for effective coding.
Enhance your problem-solving and logical thinking skills.
Expand your career opportunities in tech, data science, and AI.
Develop a skill set that allows you to automate tasks and analyze data.
Increase your confidence in coding and algorithm development.
 Career Path
Python Developer
Data Scientist
Machine Learning Engineer
Software Engineer (specialising in Python)
DevOps Engineer (using Python scripting)
 Requirements
A computer with internet access.
No prior knowledge of Python or programming is required.
Eagerness to learn and explore Python programming.
Course Curriculum
Module 01: Introduction to the Python for Beginners Course			
▶	Introduction to the Python for Beginners Course	🕐 00:08:00
Module 02: Getting Started with Python			
▶	Getting Started with Python	🕐 00:53:00
Module 03: Data Types and Operators			
▶	Data Types and Operators	🕐 01:54:00
Module 04: Data Structures			
▶	Data Structures	🕐 01:59:00
Module 05: Control Flow			
▶	Control Flow	🕐 01:14:00

Skill Up

Dip yourself in the dynamic world of Python programming with our Python for Beginners Online Course. Master Python's key concepts, its syntax, data types, and much more.

Python For Beginners Part 1

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					<div><p>If you have already covered the basics of Python in programming, you know it already that it is an awesome language to continue learning. Hence this Python 3 intermediate course. You will be amazed how much you can do in Python.</p><p>Python is a powerful high-level, object-oriented programming language. It is a great object oriented programming language which is good to have under your belt. You can turn your idea into a prototype or create games or get started with data Science, python can help you in everything to get started. It has simple easy-to-use syntax, making it the perfect language for someone trying to make a great career in programming.</p></div>
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			<h2><b> Learning outcome</b></h2>		</div>
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										<span>Familiar yourself with the recent development and updates of the relevant industry</span>
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										<span>Know how to use your theoretical knowledge to adapt in any working environment</span>
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										<span>Get help from our expert tutors anytime you need</span>
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										<span>Access to course contents that are designed and prepared by industry professionals</span>
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										<span>Study at your convenient time and from wherever you want</span>
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			<h2> <b>Why should I take this course?</b></h2>		</div>
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										<span>Affordable premium-quality E-learning content, you can learn at your own pace.</span>
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										<span>You will receive a completion certificate upon completing the course.</span>
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										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
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										<span>You will learn the researched and proven approach adopted by successful people to transform their careers.</span>
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										<span>You will be able to incorporate various techniques successfully and understand your customers better.</span>
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			<h2> <b>Requirements</b></h2>		</div>
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										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
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										<span>Access to a computer or digital device with internet connectivity.</span>
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			</div>
		</div>
						</div>
			</div>
		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong>Python 3 Intermediate</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Iterators and Generators</td>
					<td><span>FREE</span> </td>
					<td><span>🕐 00:16:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Regular Expressions</td><td><span>🕐 00:19:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Introspection and Lambda Functions</td><td><span>🕐 00:27:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Metaclasses and Decorators</td><td><span>🕐 00:24:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Modules and Packages</td><td><span>🕐 00:25:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Working with APIs</td><td><span>🕐 00:15:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Metaprogramming Primer</td><td><span>🕐 00:19:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Decorators and Monkey Patching</td><td><span>🕐 00:21:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>XML and JSON Structure</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Generating XML and JSON</td><td><span>🕐 00:17:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Parsing XML and JSON</td><td><span>🕐 00:19:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Implementing Algorithms</td><td><span>🕐 00:19:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Mock Exam</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mock Exam- Python 3 Intermediate</td><td><span>🕐 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Final Exam</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Final Exam- Python 3 Intermediate</td><td><span>🕐 00:20:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

If you have already covered the basics of Python in programming, you know it already that it is an awesome language to continue learning. Hence this Python 3 intermediate course. You will be amazed how much you can do in Python.
Python is a powerful high-level, object-oriented programming language. It is a great object oriented programming language which is good to have under your belt. You can turn your idea into a prototype or create games or get started with data Science, python can help you in everything to get started. It has simple easy-to-use syntax, making it the perfect language for someone trying to make a great career in programming.
 Learning outcome
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
 Why should I take this course?
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful people to transform their careers.
You will be able to incorporate various techniques successfully and understand your customers better.
 Requirements
No formal qualifications required, anyone from any academic background can take this course.
Access to a computer or digital device with internet connectivity.
Course Curriculum
Python 3 Intermediate			
▶	Iterators and Generators	FREE	🕐 00:16:00
▶	Regular Expressions	🕐 00:19:00
▶	Introspection and Lambda Functions	🕐 00:27:00
▶	Metaclasses and Decorators	🕐 00:24:00
▶	Modules and Packages	🕐 00:25:00
▶	Working with APIs	🕐 00:15:00
▶	Metaprogramming Primer	🕐 00:19:00
▶	Decorators and Monkey Patching	🕐 00:21:00
▶	XML and JSON Structure	🕐 00:10:00
▶	Generating XML and JSON	🕐 00:17:00
▶	Parsing XML and JSON	🕐 00:19:00
▶	Implementing Algorithms	🕐 00:19:00
Mock Exam			
	Mock Exam- Python 3 Intermediate	🕐 00:20:00
Final Exam			
	Final Exam- Python 3 Intermediate	🕐 00:20:00

If you have already covered the basics of Python in programming, you know it already that it is

Python 3 Intermediate

Get up to speed with automating repetitive tasks with Python
Over the last few years, Python has gained immense popularity. The demand for the programming language in the job market has particularly increased and being well-versed with it can help you enter some of the most exciting industries, including data science, artificial intelligence (AI), web applications, server-side automation, and home automation.
This course will make it easy for you to learn Python, with an emphasis on server-side automation. You will not only get to grips with core Python but also focus on advanced Python. Gradually, the course will take you through writing a Python script to print the OS name. You'll also learn how to pass elements into a program using *args. To build on your knowledge further, you'll understand the technique of transferring a file from a local server to a remote server and vice versa using paramiko.
By the end of this course, you will have learned how to automate a wide variety of tasks with the help of Python scripting. All codes and supporting files are available at-
https://github.com/PacktPublishing/Complete-Python-Scripting-for-Automation
What You Will Learn
Understand how to use Python scripting for automation
Get hands-on with core Python and advanced Python
Delve into the OS module and its various functions such as os.name and os.error
Audience
This course is for anyone who is just getting started with programming and is looking to learn Python from scratch.
Approach
This course is structured to make programming easy for beginners. It features detailed explanations with step-by-step instructions to help you learn effectively.
Key Features
Understand how to use Atom Editor to run a Python script * Get to grips with arithmetic and assignment operators
Github Repo
https://github.com/packtpublishing/complete-python-scripting-for-automation
About the Author
VR Technologies
VRTechnologies is a seasoned DevOps automation consultant with a specialization in cloud and DevOps. With a wealth of experience, they have successfully trained over 400 students through comprehensive automation courses covering Shell, Python, and Ansible. With six years of training expertise, VRTechnologies' commitment to staying at the forefront of technology trends is unmatched, ensuring that students receive the most up-to-date knowledge. Their passion for learning and teaching drives them to meticulously research and prepare each course, offering hands-on demonstrations from the basics to advanced concepts. Join VRTechnologies on a transformative learning journey and unlock the power of automation in your career.
Course Outline
1. Introduction

1. Introduction to the Python
Introduction: Introduction to the Python
2. Python setup on Windows
Introduction: Python setup on Windows
3. Python setup on Linux (Installing required python on Linux)
Introduction: Python setup on Linux (Installing required python on Linux)
4. Editors for Python code
Introduction: Editors for Python code
5. How to use Atom Editor to run python script
Introduction: How to use Atom Editor to run python script
2. Basics of print, indentation, comments and special characters

1. simple hello world script
Basics of print, indentation, comments and special characters: simple hello world script
2. Python Indentation
Basics of print, indentation, comments and special characters: Python Indentation
3. Python Comments
Basics of print, indentation, comments and special characters: Python Comments
4. Usage of special characters with print statement
Basics of print, indentation, comments and special characters: Usage of special characters with print statement
5. Running Python script on Windows and Linux
Basics of print, indentation, comments and special characters: Running Python script on Windows and Linux
3. Basics of variables and Data Types

1. Introduction to variables and print with variables
Basics of variables and Data Types: Introduction to variables and print with variables
2. Data Types
Basics of variables and Data Types: Data Types
3. working with multiple variable and strings in print
Basics of variables and Data Types: working with multiple variable and strings in print
4. Input and Output Syntax
Basics of variables and Data Types: Input and Output Syntax
4. Complete String Operations

1. Basic operations on strings
Complete String Operations: Basic operations on strings
2. case (Lower, Upper etc...) conversion operations
Complete String Operations: case (Lower, Upper etc...) conversion operations
3. Boolean result operations
Complete String Operations: Boolean result operations
4. join, center and zfill (zero fill)
Complete String Operations: join, center and zfill (zero fill)
5. strip, split operations
Complete String Operations: strip, split operations
6. count, index and find operations on strings
Complete String Operations: count, index and find operations on strings
7. Practice: Display given string at left/right/center of a line in title format
Complete String Operations: Practice: Display given string at left/right/center of a line in title format
5. Data Structures of Python

1. Introduction to Data Structures and Types of Data Structures
Data Structures of Python: Introduction to Data Structures and Types of Data Structures
2. Lists
Data Structures of Python: Lists
3. Tuples
Data Structures of Python: Tuples
4. Dictionaries
Data Structures of Python: Dictionaries
5. Sets
Data Structures of Python: Sets
6. Operators of Python

1. Introduction to Operators of Python
Operators of Python: Introduction to Operators of Python
2. Arithmetic and Assignment Operators
Operators of Python: Arithmetic and Assignment Operators
3. Comparison Operators
Operators of Python: Comparison Operators
4. Identity and Membership operators
Operators of Python: Identity and Membership operators
5. Logical Operators
Operators of Python: Logical Operators
7. Conditional statements

1. Introduction to conditional statements; simple if condition
Conditional statements: Introduction to conditional statements; simple if condition
2. if ... else and if ... elif ... elif ... else condition
Conditional statements: if ... else and if ... elif ... elif ... else condition
3. Practice with conditional statements
Conditional statements: Practice with conditional statements
8. Working with Python Modules

1. Introduction to Python Modules
Working with Python Modules: Introduction to Python Modules
2. platform module
Working with Python Modules: platform module
3. getpass module
Working with Python Modules: getpass module
9. sys module

1. Introduction to sys module
sys module: Introduction to sys module
2. sys.argv | working with command line arguments with an example
sys module: sys.argv | working with command line arguments with an example
10. OS Module

1. Introduction to OS Module and Basic operation
OS Module: Introduction to OS Module and Basic operation
2. os.path module
OS Module: os.path module
3. os.system() function from os module
OS Module: os.system() function from os module
4. Practice script on platform and os module
OS Module: Practice script on platform and os module
5. os.walk(path)
OS Module: os.walk(path)
6. Best Practice with os.walk for real-time
OS Module: Best Practice with os.walk for real-time
11. Loops - for and while loops with break, continue and pass

1. Practice: Read a path and check if given path is a file or a directory
Loops - for and while loops with break, continue and pass: Practice: Read a path and check if given path is a file or a directory
2. Introduction to loops with an example
Loops - for and while loops with break, continue and pass: Introduction to loops with an example
3. Loops | Working with for loop
Loops - for and while loops with break, continue and pass: Loops | Working with for loop
4. Simple practice with for loop
Loops - for and while loops with break, continue and pass: Simple practice with for loop
5. Find all files in a directory with required extension.py/.sh/.log/.txt etc...
Loops - for and while loops with break, continue and pass: Find all files in a directory with required extension.py/.sh/.log/.txt etc...
6. Complete range() function
Loops - for and while loops with break, continue and pass: Complete range() function
7. for loop to work with strings, list, tuple and dictionaries
Loops - for and while loops with break, continue and pass: for loop to work with strings, list, tuple and dictionaries
8. Introduction to while loop
Loops - for and while loops with break, continue and pass: Introduction to while loop
9. Loop Control statements: break, continue and pass
Loops - for and while loops with break, continue and pass: Loop Control statements: break, continue and pass
12. datetime module to work with dates and times

1. Introduction to datetime module
datetime module to work with dates and times: Introduction to datetime module
2. Practice: Find the files which are older than x days from a given path
datetime module to work with dates and times: Practice: Find the files which are older than x days from a given path
13. subprocess Module: To execute any Operating System Commands with python

1. Introduction to subprocess module
subprocess Module: To execute any Operating System Commands with python: Introduction to subprocess module
2. Practice-1 with subprocess module
subprocess Module: To execute any Operating System Commands with python: Practice-1 with subprocess module
3. Practice-2: Platform independent script to find the java version
subprocess Module: To execute any Operating System Commands with python: Practice-2: Platform independent script to find the java version
14. Working with text files

1. Working with text files: Reading and writing to text files
Working with text files: Working with text files: Reading and writing to text files
2. Copy the content of a source file into a destination file
Working with text files: Copy the content of a source file into a destination file
15. Working with csv

1. Introduction to csv files and How to read a csv files using python?
Working with csv: Introduction to csv files and How to read a csv files using python?
2. Read only header of a csv file and Finding the no of rows in a csv file
Working with csv: Read only header of a csv file and Finding the no of rows in a csv file
3. Creating csv file
Working with csv: Creating csv file
16. Working with files like json

1. Working with json files
Working with files like json: Working with json files
17. Exception Handling

1. Introduction to Exception Handling
Exception Handling: Introduction to Exception Handling
2. Exception Handling for known Exceptions
Exception Handling: Exception Handling for known Exceptions
3. try except else and finally usage
Exception Handling: try except else and finally usage
4. Raise user Defined Exceptions
Exception Handling: Raise user Defined Exceptions
18. Functions

1. Introduction to Functions
Functions: Introduction to Functions
2. How to define a Function and How to use defined Function, Types of Functions
Functions: How to define a Function and How to use defined Function, Types of Functions
3. Converting simple code into Functions
Functions: Converting simple code into Functions
4. Calling a function from another function and Scope of the variables
Functions: Calling a function from another function and Scope of the variables
5. Simple Functions with arguments
Functions: Simple Functions with arguments
6. Functions with arguments and return value
Functions: Functions with arguments and return value
7. Functions with default arguments
Functions: Functions with default arguments
8. Functions with keyword-based arguments
Functions: Functions with keyword-based arguments
9. Functions with Variable length arguments
Functions: Functions with Variable length arguments
10. Functions with variable keyword arguments
Functions: Functions with variable keyword arguments
11. How to use Functions of one script into another script, what is __name__ ?
Functions: How to use Functions of one script into another script, what is __name__ ?
12. Simple exception handling to changing current working directory
Functions: Simple exception handling to changing current working directory
19. Regular expression with re module

1. Introduction to regular expressions
Regular expression with re module: Introduction to regular expressions
2. Basic rules to create a pattern for regex
Regular expression with re module: Basic rules to create a pattern for regex
3. Rules to create a pattern Part-2
Regular expression with re module: Rules to create a pattern Part-2
4. Rules to create a pattern Part-2
Regular expression with re module: Rules to create a pattern Part-2
5. Regex with Flags
Regular expression with re module: Regex with Flags
6. working with search and match operations from re module
Regular expression with re module: working with search and match operations from re module
7. working with findall and finditer operations
Regular expression with re module: working with findall and finditer operations
8. working with split, sub and subn operations of re module
Regular expression with re module: working with split, sub and subn operations of re module
9. compile operation (Execute all re operations on compile object)
Regular expression with re module: compile operation (Execute all re operations on compile object)
20. Paramiko module to work with remote servers using python

1. Introduction to paramiko
Paramiko module to work with remote servers using python: Introduction to paramiko
2. Transfer file from local server to remote server and vice versa using paramiko
Paramiko module to work with remote servers using python: Transfer file from local server to remote server and vice versa using paramiko
21. Shutil module

1. Part-1: copy file(s) with shutil module
Shutil module: Part-1: copy file(s) with shutil module
22. OOPS for Real Time

1. Introduction to oops
OOPS for Real Time: Introduction to oops
2. Class and object attributes
OOPS for Real Time: Class and object attributes
3. Constructor of a class
OOPS for Real Time: Constructor of a class
4. Simple Python Script without and with oops concepts
OOPS for Real Time: Simple Python Script without and with oops concepts
5. destructor of a class
OOPS for Real Time: destructor of a class
6. Polymorphism and inheritance of python oops
OOPS for Real Time: Polymorphism and inheritance of python oops
7. Encapsulation
OOPS for Real Time: Encapsulation
23. Windows Subsystem for Linux

1. Linux for Developers on Windows
Windows Subsystem for Linux: Linux for Developers on Windows

Python Scripting

Automation

Get up to speed with automating repetitive tasks with Python

Complete Python Scripting for Automation

<strong>Explore the quick and easy way to learn the MySQL Database with Python</strong>
        <p>Today databases are highly valued as they allow users to effectively manage, access, and update data. MySQL is one of the most popular databases and has a wide variety of applications in e-commerce, data warehousing, and website management. When combined with Python, one of the most popular and powerful programming languages today, you'll be able to manage data efficiently and systematically.

In this course, you'll get started by understanding the basics of using MySQL with Python. You'll learn how to install MySQL and Python, before going on to develop databases. In addition to this, you'll explore the technique of creating tables for safely storing data. The course will then guide you on how to add, sort, and retrieve data through functions such as INSERT, ORDER BY, and SELECT. As you progress, you'll be equipped with the knowledge of inserting a single record as well as multiple records into a table. Toward the end, you will discover clauses such as WHERE and LIKE, and later learn to update records.

By the end of this course, you will have learned how to confidently use Python with MySQL for your database management needs.  

All code files are placed at https://github.com/PacktPublishing/Using-MySQL-Databases-With-Python</p>
        <h2>What You Will Learn</h2><p>Get up to speed with the working of a database<br>Understand how to install Python, MySQL, Git Bash, and MySQL Connector<br>Work through creating a table<br>Explore how to connect to a database in Python<br>Update and delete data from the database<br>Discover the technique of inserting a single record as well as multiple records into a table<br>Create basic reports with the data from your database</p>
        <h2>Audience</h2><p>This course is for anyone who wants to use the MySQL Database with Python. Although a basic understanding of Python programming is required, knowledge of databases or MySQL is not necessary.</p>
        <h2>Approach</h2><p>A complete course packed with step-by-step instructions, working examples, and helpful advice.</p>
        <h2>Key Features</h2><p>Learn to use MySQL databases with Python * Get to grips with adding, sorting and pulling specific data</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/using-mysql-databases-with-python</p>
        <h2>About the Author</h2><h3>John Elder</h3><p>John Elder is a pioneer in Web Development who created one of the first Internet advertising networks back in 1997. He sold it to a publicly traded company at the height of the dot com boom and then went on to create the best-selling Submission-Spider search engine submission software that's been used by over 3 million individuals and small businesses in over 45 countries.

John graduated with honors with a degree in economics from Washington University in St. Louis where he was an artsci scholar. Today he teaches Web Development courses at Codemy the online code school he founded.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. What is a Database</h4><p></p><br><h4>3. Install Python</h4><p></p><br><h4>4. Install Git Bash Terminal</h4><p></p><br><h4>5. Download MySQL</h4><p></p><br><h4>6. Install MySQL and Workbench</h4><p></p><br><h4>7. Install MySQL Connector</h4><p></p><br><h4>8. Connect to Database in Python</h4><p></p><br><h4>9. Explore MySQL Workbench</h4><p></p><br><h4>10. Create a Database</h4><p></p><br><h4>11. Create a Table</h4><p></p><br><h4>12. Insert One record into table</h4><p></p><br><h4>13. Insert Many records into Table</h4><p></p><br><h4>14. Understanding Data Types</h4><p></p><br><h4>15. Select Data from Table</h4><p></p><br><h4>16. Format our results</h4><p></p><br><h4>17. The Where Clause</h4><p></p><br><h4>18. Using AND and OR</h4><p></p><br><h4>19. The Like Clause and Wild cards</h4><p></p><br><h4>20. Updating Records</h4><p></p><br><h4>21. Limit and Ordering</h4><p></p><br><h4>22. Delete Records</h4><p></p><br><h4>23. Delete (Drop) a Table and Backups</h4><p></p>

Explore the quick and easy way to learn the MySQL Database with Python
Today databases are highly valued as they allow users to effectively manage, access, and update data. MySQL is one of the most popular databases and has a wide variety of applications in e-commerce, data warehousing, and website management. When combined with Python, one of the most popular and powerful programming languages today, you'll be able to manage data efficiently and systematically. In this course, you'll get started by understanding the basics of using MySQL with Python. You'll learn how to install MySQL and Python, before going on to develop databases. In addition to this, you'll explore the technique of creating tables for safely storing data. The course will then guide you on how to add, sort, and retrieve data through functions such as INSERT, ORDER BY, and SELECT. As you progress, you'll be equipped with the knowledge of inserting a single record as well as multiple records into a table. Toward the end, you will discover clauses such as WHERE and LIKE, and later learn to update records. By the end of this course, you will have learned how to confidently use Python with MySQL for your database management needs. All code files are placed at https://github.com/PacktPublishing/Using-MySQL-Databases-With-Python
What You Will Learn
Get up to speed with the working of a database
Understand how to install Python, MySQL, Git Bash, and MySQL Connector
Work through creating a table
Explore how to connect to a database in Python
Update and delete data from the database
Discover the technique of inserting a single record as well as multiple records into a table
Create basic reports with the data from your database
Audience
This course is for anyone who wants to use the MySQL Database with Python. Although a basic understanding of Python programming is required, knowledge of databases or MySQL is not necessary.
Approach
A complete course packed with step-by-step instructions, working examples, and helpful advice.
Key Features
Learn to use MySQL databases with Python * Get to grips with adding, sorting and pulling specific data
Github Repo
https://github.com/packtpublishing/using-mysql-databases-with-python
About the Author
John Elder
John Elder is a pioneer in Web Development who created one of the first Internet advertising networks back in 1997. He sold it to a publicly traded company at the height of the dot com boom and then went on to create the best-selling Submission-Spider search engine submission software that's been used by over 3 million individuals and small businesses in over 45 countries. John graduated with honors with a degree in economics from Washington University in St. Louis where he was an artsci scholar. Today he teaches Web Development courses at Codemy the online code school he founded.
Course Outline
1. Introduction

2. What is a Database

3. Install Python

4. Install Git Bash Terminal

5. Download MySQL

6. Install MySQL and Workbench

7. Install MySQL Connector

8. Connect to Database in Python

9. Explore MySQL Workbench

10. Create a Database

11. Create a Table

12. Insert One record into table

13. Insert Many records into Table

14. Understanding Data Types

15. Select Data from Table

16. Format our results

17. The Where Clause

18. Using AND and OR

19. The Like Clause and Wild cards

20. Updating Records

21. Limit and Ordering

22. Delete Records

23. Delete (Drop) a Table and Backups


Database Programming

MySQL

Explore the quick and easy way to learn the MySQL Database with Python

Using MySQL Databases with Python

<strong>Python programming and Ruby coding are popular for a reason! Become a software coder, web developer, or hacker today</strong>
        <p>In this course, you'll learn the Python 3 programming language and the Ruby programming language from an absolute beginner level to advanced-in no time at all! This course targets absolute beginners; you don't need any coding experience at all!

We start by setting up, downloading, and installing Python and the Sublime Text Editor-both for free. This will give you all the tools you need to start writing and running Python code. 

For Ruby, we'll use a free online development environment (or you can download Ruby yourself onto your computer).

Then, we'll delve into very basic computer science concepts, such as:
&bull;	Printing to the screen
&bull;	String manipulation
&bull;	Variables
&bull;	Data types (lists, tuples, dictionaries and more)
&bull;	Simple math
&bull;	Comparison operators
&bull;	Assignment operators

After that, we'll move on to more intermediate topics such as:
&bull;	Conditional if/else statements
&bull;	While loops
&bull;	For loops
&bull;	Fizzbuzz

Finally, we'll finish up with more advanced topics like:
&bull;	Functions
&bull;	Modules
&bull;	Classes

We'll learn all these things for both Python and Ruby. We start with Python, and then on to Ruby in the second half of the course.</p>
        <h2>What You Will Learn</h2><p>Learn actual, applicable programming concepts.<br>Understand basic topics such as variables, data types, conditional if/else and comparisons, and while/for loops</p>
        <h2>Audience</h2><p>This course targets absolute beginners who want to learn the Python and Ruby programming languages.</p>
        <h2>Approach</h2><p>This course is a step-by-step approach, just follow along with the instructor and build what he builds. Learn as you build with this hands-on video series.</p>
        <h2>Key Features</h2><p>Learn Python from beginner to advanced * Understand programming concepts applicable to any programming language * Learn Ruby from beginner to advanced</p>
        
        <h2>About the Author</h2><h3>John Elder</h3><p>John Elder is a pioneer in Web Development who created one of the first Internet advertising networks back in 1997. He sold it to a publicly traded company at the height of the dot com boom and then went on to create the best-selling Submission-Spider search engine submission software that's been used by over 3 million individuals and small businesses in over 45 countries.

John graduated with honors with a degree in economics from Washington University in St. Louis where he was an artsci scholar. Today he teaches Web Development courses at Codemy the online code school he founded.</p>
        <h2>Course Outline</h2><h4>1. Beginners Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro - Python 3 vs Python 2 - Which Should You Use?</p><p style='margin: 0'>Beginners Python: Intro - Python 3 vs Python 2 - Which Should You Use?</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing Python</p><p style='margin: 0'>Beginners Python: Installing Python</p></td></tr><tr><td style='padding: 15px;'><p>3. First Program - Hello World!</p><p style='margin: 0'>Beginners Python: First Program - Hello World!</p></td></tr><tr><td style='padding: 15px;'><p>4. Comments and Clearing the Screen</p><p style='margin: 0'>Beginners Python: Comments and Clearing the Screen</p></td></tr><tr><td style='padding: 15px;'><p>5. Variables</p><p style='margin: 0'>Beginners Python: Variables</p></td></tr><tr><td style='padding: 15px;'><p>6. Intro to Data Types</p><p style='margin: 0'>Beginners Python: Intro to Data Types</p></td></tr><tr><td style='padding: 15px;'><p>7. Strings</p><p style='margin: 0'>Beginners Python: Strings</p></td></tr><tr><td style='padding: 15px;'><p>8. String Manipulation</p><p style='margin: 0'>Beginners Python: String Manipulation</p></td></tr><tr><td style='padding: 15px;'><p>9. Math with Python</p><p style='margin: 0'>Beginners Python: Math with Python</p></td></tr><tr><td style='padding: 15px;'><p>10. Floats and Ints</p><p style='margin: 0'>Beginners Python: Floats and Ints</p></td></tr><tr><td style='padding: 15px;'><p>11. Assignment Operators</p><p style='margin: 0'>Beginners Python: Assignment Operators</p></td></tr><tr><td style='padding: 15px;'><p>12. Lists</p><p style='margin: 0'>Beginners Python: Lists</p></td></tr><tr><td style='padding: 15px;'><p>13. Tuples</p><p style='margin: 0'>Beginners Python: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>14. Dictionaries</p><p style='margin: 0'>Beginners Python: Dictionaries</p></td></tr></tbody></table><br><h4>2. Intermediate Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Comparison Operators</p><p style='margin: 0'>Intermediate Python: Comparison Operators</p></td></tr><tr><td style='padding: 15px;'><p>2. Conditional Statements</p><p style='margin: 0'>Intermediate Python: Conditional Statements</p></td></tr><tr><td style='padding: 15px;'><p>3. Multiple Conditional Statements</p><p style='margin: 0'>Intermediate Python: Multiple Conditional Statements</p></td></tr><tr><td style='padding: 15px;'><p>4. While Loops</p><p style='margin: 0'>Intermediate Python: While Loops</p></td></tr><tr><td style='padding: 15px;'><p>5. For Loops</p><p style='margin: 0'>Intermediate Python: For Loops</p></td></tr><tr><td style='padding: 15px;'><p>6. Let's Build FizzBuzz!</p><p style='margin: 0'>Intermediate Python: Let's Build FizzBuzz!</p></td></tr></tbody></table><br><h4>3. Advanced Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Functions</p><p style='margin: 0'>Advanced Python: Functions</p></td></tr><tr><td style='padding: 15px;'><p>2. Functions Part 2</p><p style='margin: 0'>Advanced Python: Functions Part 2</p></td></tr><tr><td style='padding: 15px;'><p>3. Modules</p><p style='margin: 0'>Advanced Python: Modules</p></td></tr><tr><td style='padding: 15px;'><p>4. Intro To Classes</p><p style='margin: 0'>Advanced Python: Intro To Classes</p></td></tr><tr><td style='padding: 15px;'><p>5. Classes Part 1</p><p style='margin: 0'>Advanced Python: Classes Part 1</p></td></tr><tr><td style='padding: 15px;'><p>6. Classes Part 2</p><p style='margin: 0'>Advanced Python: Classes Part 2</p></td></tr><tr><td style='padding: 15px;'><p>7. Classes Part 3</p><p style='margin: 0'>Advanced Python: Classes Part 3</p></td></tr><tr><td style='padding: 15px;'><p>8. Course Conclusion</p><p style='margin: 0'>Advanced Python: Course Conclusion</p></td></tr></tbody></table><br><h4>4. Ruby Programming Basics</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>Ruby Programming Basics: Introduction</p></td></tr><tr><td style='padding: 15px;'><p>2. Install Sublime Text and Git Bash</p><p style='margin: 0'>Ruby Programming Basics: Install Sublime Text and Git Bash</p></td></tr><tr><td style='padding: 15px;'><p>3. Install Ruby</p><p style='margin: 0'>Ruby Programming Basics: Install Ruby</p></td></tr><tr><td style='padding: 15px;'><p>4. Hello World! First Program</p><p style='margin: 0'>Ruby Programming Basics: Hello World! First Program</p></td></tr><tr><td style='padding: 15px;'><p>5. Printing To The Screen With Puts and Print</p><p style='margin: 0'>Ruby Programming Basics: Printing To The Screen With Puts and Print</p></td></tr><tr><td style='padding: 15px;'><p>6. String Manipulation</p><p style='margin: 0'>Ruby Programming Basics: String Manipulation</p></td></tr><tr><td style='padding: 15px;'><p>7. Variables</p><p style='margin: 0'>Ruby Programming Basics: Variables</p></td></tr><tr><td style='padding: 15px;'><p>8. Getting User Input with Gets</p><p style='margin: 0'>Ruby Programming Basics: Getting User Input with Gets</p></td></tr><tr><td style='padding: 15px;'><p>9. Simple Math</p><p style='margin: 0'>Ruby Programming Basics: Simple Math</p></td></tr><tr><td style='padding: 15px;'><p>10. Converting to An Integer</p><p style='margin: 0'>Ruby Programming Basics: Converting to An Integer</p></td></tr><tr><td style='padding: 15px;'><p>11. Comparison Operators</p><p style='margin: 0'>Ruby Programming Basics: Comparison Operators</p></td></tr><tr><td style='padding: 15px;'><p>12. Assignment Operators</p><p style='margin: 0'>Ruby Programming Basics: Assignment Operators</p></td></tr><tr><td style='padding: 15px;'><p>13. If/Else Conditional Statements</p><p style='margin: 0'>Ruby Programming Basics: If/Else Conditional Statements</p></td></tr></tbody></table><br><h4>5. Intermediate Ruby Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Arrays</p><p style='margin: 0'>Intermediate Ruby Programming: Arrays</p></td></tr><tr><td style='padding: 15px;'><p>2. While Loops</p><p style='margin: 0'>Intermediate Ruby Programming: While Loops</p></td></tr><tr><td style='padding: 15px;'><p>3. Each Loops</p><p style='margin: 0'>Intermediate Ruby Programming: Each Loops</p></td></tr><tr><td style='padding: 15px;'><p>4. Hashes</p><p style='margin: 0'>Intermediate Ruby Programming: Hashes</p></td></tr><tr><td style='padding: 15px;'><p>5. Building FizzBuzz!</p><p style='margin: 0'>Intermediate Ruby Programming: Building FizzBuzz!</p></td></tr><tr><td style='padding: 15px;'><p>6. Methods Part 1</p><p style='margin: 0'>Intermediate Ruby Programming: Methods Part 1</p></td></tr><tr><td style='padding: 15px;'><p>7. Methods Part 2</p><p style='margin: 0'>Intermediate Ruby Programming: Methods Part 2</p></td></tr></tbody></table><br><h4>6. Advanced Ruby Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro to Ruby Classes</p><p style='margin: 0'>Advanced Ruby Programming: Intro to Ruby Classes</p></td></tr><tr><td style='padding: 15px;'><p>2. Ruby Classes Part 1</p><p style='margin: 0'>Advanced Ruby Programming: Ruby Classes Part 1</p></td></tr><tr><td style='padding: 15px;'><p>3. Class Getters</p><p style='margin: 0'>Advanced Ruby Programming: Class Getters</p></td></tr><tr><td style='padding: 15px;'><p>4. Class Setters</p><p style='margin: 0'>Advanced Ruby Programming: Class Setters</p></td></tr><tr><td style='padding: 15px;'><p>5. Adding Perimeter and Area Methods</p><p style='margin: 0'>Advanced Ruby Programming: Adding Perimeter and Area Methods</p></td></tr><tr><td style='padding: 15px;'><p>6. Class Attr Accessor</p><p style='margin: 0'>Advanced Ruby Programming: Class Attr Accessor</p></td></tr><tr><td style='padding: 15px;'><p>7. Creating a Draw Method</p><p style='margin: 0'>Advanced Ruby Programming: Creating a Draw Methods</p></td></tr></tbody></table>

Python programming and Ruby coding are popular for a reason! Become a software coder, web developer, or hacker today
In this course, you'll learn the Python 3 programming language and the Ruby programming language from an absolute beginner level to advanced-in no time at all! This course targets absolute beginners; you don't need any coding experience at all! We start by setting up, downloading, and installing Python and the Sublime Text Editor-both for free. This will give you all the tools you need to start writing and running Python code. For Ruby, we'll use a free online development environment (or you can download Ruby yourself onto your computer). Then, we'll delve into very basic computer science concepts, such as:
•	Printing to the screen
•	String manipulation
•	Variables
•	Data types (lists, tuples, dictionaries and more)
•	Simple math
•	Comparison operators
•	Assignment operators After that, we'll move on to more intermediate topics such as:
•	Conditional if/else statements
•	While loops
•	For loops
•	Fizzbuzz Finally, we'll finish up with more advanced topics like:
•	Functions
•	Modules
•	Classes We'll learn all these things for both Python and Ruby. We start with Python, and then on to Ruby in the second half of the course.
What You Will Learn
Learn actual, applicable programming concepts.
Understand basic topics such as variables, data types, conditional if/else and comparisons, and while/for loops
Audience
This course targets absolute beginners who want to learn the Python and Ruby programming languages.
Approach
This course is a step-by-step approach, just follow along with the instructor and build what he builds. Learn as you build with this hands-on video series.
Key Features
Learn Python from beginner to advanced * Understand programming concepts applicable to any programming language * Learn Ruby from beginner to advanced
About the Author
John Elder
John Elder is a pioneer in Web Development who created one of the first Internet advertising networks back in 1997. He sold it to a publicly traded company at the height of the dot com boom and then went on to create the best-selling Submission-Spider search engine submission software that's been used by over 3 million individuals and small businesses in over 45 countries. John graduated with honors with a degree in economics from Washington University in St. Louis where he was an artsci scholar. Today he teaches Web Development courses at Codemy the online code school he founded.
Course Outline
1. Beginners Python

1. Intro - Python 3 vs Python 2 - Which Should You Use?
Beginners Python: Intro - Python 3 vs Python 2 - Which Should You Use?
2. Installing Python
Beginners Python: Installing Python
3. First Program - Hello World!
Beginners Python: First Program - Hello World!
4. Comments and Clearing the Screen
Beginners Python: Comments and Clearing the Screen
5. Variables
Beginners Python: Variables
6. Intro to Data Types
Beginners Python: Intro to Data Types
7. Strings
Beginners Python: Strings
8. String Manipulation
Beginners Python: String Manipulation
9. Math with Python
Beginners Python: Math with Python
10. Floats and Ints
Beginners Python: Floats and Ints
11. Assignment Operators
Beginners Python: Assignment Operators
12. Lists
Beginners Python: Lists
13. Tuples
Beginners Python: Tuples
14. Dictionaries
Beginners Python: Dictionaries
2. Intermediate Python

1. Comparison Operators
Intermediate Python: Comparison Operators
2. Conditional Statements
Intermediate Python: Conditional Statements
3. Multiple Conditional Statements
Intermediate Python: Multiple Conditional Statements
4. While Loops
Intermediate Python: While Loops
5. For Loops
Intermediate Python: For Loops
6. Let's Build FizzBuzz!
Intermediate Python: Let's Build FizzBuzz!
3. Advanced Python

1. Functions
Advanced Python: Functions
2. Functions Part 2
Advanced Python: Functions Part 2
3. Modules
Advanced Python: Modules
4. Intro To Classes
Advanced Python: Intro To Classes
5. Classes Part 1
Advanced Python: Classes Part 1
6. Classes Part 2
Advanced Python: Classes Part 2
7. Classes Part 3
Advanced Python: Classes Part 3
8. Course Conclusion
Advanced Python: Course Conclusion
4. Ruby Programming Basics

1. Introduction
Ruby Programming Basics: Introduction
2. Install Sublime Text and Git Bash
Ruby Programming Basics: Install Sublime Text and Git Bash
3. Install Ruby
Ruby Programming Basics: Install Ruby
4. Hello World! First Program
Ruby Programming Basics: Hello World! First Program
5. Printing To The Screen With Puts and Print
Ruby Programming Basics: Printing To The Screen With Puts and Print
6. String Manipulation
Ruby Programming Basics: String Manipulation
7. Variables
Ruby Programming Basics: Variables
8. Getting User Input with Gets
Ruby Programming Basics: Getting User Input with Gets
9. Simple Math
Ruby Programming Basics: Simple Math
10. Converting to An Integer
Ruby Programming Basics: Converting to An Integer
11. Comparison Operators
Ruby Programming Basics: Comparison Operators
12. Assignment Operators
Ruby Programming Basics: Assignment Operators
13. If/Else Conditional Statements
Ruby Programming Basics: If/Else Conditional Statements
5. Intermediate Ruby Programming

1. Arrays
Intermediate Ruby Programming: Arrays
2. While Loops
Intermediate Ruby Programming: While Loops
3. Each Loops
Intermediate Ruby Programming: Each Loops
4. Hashes
Intermediate Ruby Programming: Hashes
5. Building FizzBuzz!
Intermediate Ruby Programming: Building FizzBuzz!
6. Methods Part 1
Intermediate Ruby Programming: Methods Part 1
7. Methods Part 2
Intermediate Ruby Programming: Methods Part 2
6. Advanced Ruby Programming

1. Intro to Ruby Classes
Advanced Ruby Programming: Intro to Ruby Classes
2. Ruby Classes Part 1
Advanced Ruby Programming: Ruby Classes Part 1
3. Class Getters
Advanced Ruby Programming: Class Getters
4. Class Setters
Advanced Ruby Programming: Class Setters
5. Adding Perimeter and Area Methods
Advanced Ruby Programming: Adding Perimeter and Area Methods
6. Class Attr Accessor
Advanced Ruby Programming: Class Attr Accessor
7. Creating a Draw Method
Advanced Ruby Programming: Creating a Draw Methods

Ruby

Python programming and Ruby coding are popular for a reason! Become a software coder, web developer, or hacker today

Python and Ruby Programming Bundle

<strong>This course empowers you to create interactive web applications using Shiny for Python. From fundamental concepts to advanced techniques, you will master web development with Python as your toolkit. Develop dynamic projects, learn diverse deployment methods, and embark on a journey to become a skilled Python web developer.</strong>
        <p>In the rapidly evolving landscape of web development, harnessing the power of Python to create dynamic and interactive web applications has become essential. This course empowers beginners with the tools to master web development using Python as their primary resource.

Beginning with the fundamental building blocks of web development, you will explore Shiny for Python, a package that revolutionizes the creation of user interfaces, widgets, and interactive features. From structuring your app and designing layouts to implementing control widgets and reactivity, you will gain a deep understanding of web application development.

The course then delves into hands-on projects, covering a diverse range of topics. You will learn how to fetch user input and create interactive apps, progressing to advanced concepts including climate change visualization with elements such as progress bars, interactive maps, and stylish UI components. Furthermore, the course provides invaluable insights into deployment strategies, including shinylive, GitHub Pages, Web Assembly, GitHub Gist, and Posit Connect, giving your creations a global reach.

With practical exercises and real-world projects, this course is the ultimate guide to becoming a proficient Python web developer using Shiny.</p>
        <h2>What You Will Learn</h2><p>Create user-friendly interfaces with control widgets and dynamic reactivity<br>Implement climate change app features, progress bars, and interactive maps<br>Learn deployment techniques such as GitHub Pages, shinylive, and shinyapps.io<br>Understand Web Assembly and its role in deploying Python web applications<br>Explore Posit Connect for seamless and efficient app deployment<br>Develop proficiency in Python-based web app development strategies</p>
        <h2>Audience</h2><p>This course is tailor-made for Python developers eager to venture into the world of web development. Whether you are a beginner seeking to build interactive web applications or an experienced developer looking to expand your skill set, this course is designed for you. No prior web development experience is required, but a basic understanding of Python is recommended to grasp the concepts effectively.</p>
        <h2>Approach</h2><p>This course employs a hands-on and practical learning approach. You will delve into web development using Python through real-world projects and interactive exercises. From foundational concepts to advanced techniques, you will gain a comprehensive understanding of Shiny for Python. With expert guidance, you will build skills that translate directly into creating interactive web applications.</p>
        <h2>Key Features</h2><p>Learn Python-based web development with Shiny for interactive, dynamic applications * Expert instruction, practical exercises, and real-world application development * Gain confidence to build and deploy Python web apps with Shiny effectively</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Shiny-for-Python-Ultimate---Web-Development-with-Python</p>
        <h2>About the Author</h2><h3>Bert Gollnick</h3><p>Bert Gollnick is a proficient data scientist with substantial domain knowledge in renewable energies, particularly wind energy. With a rich background in aeronautics and economics, Bert brings a unique perspective to the field. Currently, Bert holds a significant role at a leading wind turbine manufacturer, leveraging his expertise to contribute to innovative solutions.

For several years, Bert has been a dedicated instructor, offering comprehensive training in data science and machine learning using R and Python. The core interests of Bert lie at the crossroads of machine learning and data science, reflecting a commitment to advancing these disciplines.</p>
        <h2>Course Outline</h2><h4>1. Introduction and Setup</h4><p></p><br><h4>2. Shiny for Python</h4><p></p><br><h4>3. First App - Most Popular Languages</h4><p></p><br><h4>4. Second App - Climate Change</h4><p></p><br><h4>5. Deployment</h4><p></p>

This course empowers you to create interactive web applications using Shiny for Python. From fundamental concepts to advanced techniques, you will master web development with Python as your toolkit. Develop dynamic projects, learn diverse deployment methods, and embark on a journey to become a skilled Python web developer.
In the rapidly evolving landscape of web development, harnessing the power of Python to create dynamic and interactive web applications has become essential. This course empowers beginners with the tools to master web development using Python as their primary resource. Beginning with the fundamental building blocks of web development, you will explore Shiny for Python, a package that revolutionizes the creation of user interfaces, widgets, and interactive features. From structuring your app and designing layouts to implementing control widgets and reactivity, you will gain a deep understanding of web application development. The course then delves into hands-on projects, covering a diverse range of topics. You will learn how to fetch user input and create interactive apps, progressing to advanced concepts including climate change visualization with elements such as progress bars, interactive maps, and stylish UI components. Furthermore, the course provides invaluable insights into deployment strategies, including shinylive, GitHub Pages, Web Assembly, GitHub Gist, and Posit Connect, giving your creations a global reach. With practical exercises and real-world projects, this course is the ultimate guide to becoming a proficient Python web developer using Shiny.
What You Will Learn
Create user-friendly interfaces with control widgets and dynamic reactivity
Implement climate change app features, progress bars, and interactive maps
Learn deployment techniques such as GitHub Pages, shinylive, and shinyapps.io
Understand Web Assembly and its role in deploying Python web applications
Explore Posit Connect for seamless and efficient app deployment
Develop proficiency in Python-based web app development strategies
Audience
This course is tailor-made for Python developers eager to venture into the world of web development. Whether you are a beginner seeking to build interactive web applications or an experienced developer looking to expand your skill set, this course is designed for you. No prior web development experience is required, but a basic understanding of Python is recommended to grasp the concepts effectively.
Approach
This course employs a hands-on and practical learning approach. You will delve into web development using Python through real-world projects and interactive exercises. From foundational concepts to advanced techniques, you will gain a comprehensive understanding of Shiny for Python. With expert guidance, you will build skills that translate directly into creating interactive web applications.
Key Features
Learn Python-based web development with Shiny for interactive, dynamic applications * Expert instruction, practical exercises, and real-world application development * Gain confidence to build and deploy Python web apps with Shiny effectively
Github Repo
https://github.com/PacktPublishing/Shiny-for-Python-Ultimate---Web-Development-with-Python
About the Author
Bert Gollnick
Bert Gollnick is a proficient data scientist with substantial domain knowledge in renewable energies, particularly wind energy. With a rich background in aeronautics and economics, Bert brings a unique perspective to the field. Currently, Bert holds a significant role at a leading wind turbine manufacturer, leveraging his expertise to contribute to innovative solutions. For several years, Bert has been a dedicated instructor, offering comprehensive training in data science and machine learning using R and Python. The core interests of Bert lie at the crossroads of machine learning and data science, reflecting a commitment to advancing these disciplines.
Course Outline
1. Introduction and Setup

2. Shiny for Python

3. First App - Most Popular Languages

4. Second App - Climate Change

5. Deployment


This course empowers you to create interactive web applications using Shiny for Python. From fundamental concepts to advanced techniques, you will master web development with Python as your toolkit. Develop dynamic projects, learn diverse deployment methods, and embark on a journey to become a skilled Python web developer.

Shiny for Python Ultimate - Web Development with Python

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Did you know that Python is one of the most popular programming languages in the world, with a massive 8.2 million users? It&#39;s no wonder the demand for skilled Python programmers is increasing daily. If you&#39;re looking to learn Python and launch a career as a programmer, look no further than our <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Programmer Complete Bundle - QLS Endorsed.</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our bundle includes 10 comprehensive courses designed to give learners the aptitudes and understanding they need to become successful Python programmers. From Python programming for non-programmers to data science, machine learning, and web development, our courses cover everything you need to know to become a skilled Python programmer.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Why do people in the UK learn Python programming? Here&#39;s a startling statistic: the demand for Python programming skills has increased by 22.5% in the UK in the last year alone, with an average salary of &pound;45,000 per annum. By taking our Python Programmer Complete Bundle, learners can gain the skills and knowledge they need to take advantage of this growing demand and launch a successful career in programming.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">And the best part? Our bundle is endorsed by the Quality Licence Scheme, ensuring the highest quality of education. Upon completion of the courses, learners will receive <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">10 QLS Endorsed Certificates in Hard Copy, free of charge.</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Take your first step towards a successful career in programming today with our <strong id="isPasted" fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Programmer Complete Bundle - QLS Endorsed</strong> and become a proficient Python programmer in no time.<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This bundle comprises the following courses:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS Endorsed Courses:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 01:</strong> Python Programming for Non-Programmers Level 5</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 02:</strong> Python Data Science for Beginners</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 03:</strong> Machine Learning with Python</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 04:</strong> Azure Machine Learning</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 05:</strong> Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 06:</strong> Introduction to Java</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 07:</strong> HTML Web Development Crash Course</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 08:</strong> How To Build Easy Drag &amp; Drop Landing Pages With WordPress</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 09:</strong> Career Coaching</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 10:</strong> The Unstoppable Self-Confidence &amp; High Self-Esteem Blueprint</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Understand the fundamentals of Python programming</li><li fr-original-style="" style="box-sizing: border-box;">Use Python for data science and analysis</li><li fr-original-style="" style="box-sizing: border-box;">Apply machine learning techniques using Python</li><li fr-original-style="" style="box-sizing: border-box;">Understand the basics of Azure Machine Learning</li><li fr-original-style="" style="box-sizing: border-box;">Understand the basics of statistics and probability for data science and machine learning</li><li fr-original-style="" style="box-sizing: border-box;">Create web pages using HTML and WordPress</li><li fr-original-style="" style="box-sizing: border-box;">Develop the aptitudes and confidence needed to pursue a successful career in programming</li></ul><p dir="ltr" id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Why Choose Imperial Academy?</strong></span></p><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">Fully Online Training</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">QLS Endorsed &amp; CPD Accredited Certificate</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">No Time Limits. Study at Your Own Pace</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">Expert Instructors</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">Audio Visual Training</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">Up-to-date Curriculum and Valuable Guidelines</span></li></ul><h2 style="color: rgb(65, 65, 65); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(65, 65, 65);">Course&nbsp;Description</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Programmer Complete Bundle - QLS Endorsed</strong> is a comprehensive package of ten courses designed to provide learners with the knowledge needed to become successful Python programmers. Our courses cover a wide range of topics, including Python programming for non-programmers, data science, machine learning, and web development.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Whether you&#39;re an aspiring programmer or a business owner looking to develop your website, our Python Programmer Complete Bundle has something for you. By completing our courses, learners will gain the skills and confidence needed to pursue a successful career in programming and data analysis. With our <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS Endorsed Hard Copy Certificates,</strong> learners can be confident in the quality of their education and prepared to take advantage of the growing demand for Python programming skills.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Certification:&nbsp;</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Quality Licence Scheme ensures excellence and quality. These courses&#39; learning outcomes also provide the learners with high competence in their line of work. So,<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> QLS Endorsed</strong> courses deliver deep knowledge and add significant value to the resume.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">After completing the assessments, learners will be eligible for a prestigious <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS Certificate</strong> for each endorsed course in this bundle. Moreover, the certificates will be delivered to their home free of cost!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Who is this course for?</div>
    </h2><div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Individuals interested in a career in programming and data analysis</li><li fr-original-style="" style="box-sizing: border-box;">Professionals seeking to expand their knowledge of programming and data analysis</li><li fr-original-style="" style="box-sizing: border-box;">Business owners seeking to develop their own websites and landing pages</li><li fr-original-style="" style="box-sizing: border-box;">Students seeking to gain the talents and expertise to pursue a career in programming and data analysis</li><li fr-original-style="" style="box-sizing: border-box;">Anyone interested in developing the ability and confidence needed to succeed in the rapidly growing programming and data analysis field.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Requirements</div>
    </h2><div id="requirements" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Anyone can enrol in this <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Programmer Complete Bundle - QLS Endorsed</strong>.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2><div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Python Developer: &pound;35,000 - &pound;75,000 per annum</li><li fr-original-style="" style="box-sizing: border-box;">Data Analyst: &pound;25,000 - &pound;45,000 per annum</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning Engineer: &pound;50,000 - &pound;100,000 per annum</li><li fr-original-style="" style="box-sizing: border-box;">Web Developer: &pound;25,000 - &pound;45,000 per annum</li><li fr-original-style="" style="box-sizing: border-box;">Software Engineer: &pound;30,000 - &pound;60,000 per annum</li><li fr-original-style="" style="box-sizing: border-box;">Business Intelligence Analyst: &pound;30,000 - &pound;65,000 per annum</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2><div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">Hard Copy QLS Certificate</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            Included
        </p>
        <h4 fr-original-style="" style="box-sizing: border-box;">PDF Certificate</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
        <h4 fr-original-style="" style="box-sizing: border-box;">Student ID Card</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>

                        </div>

Did you know that Python is one of the most popular programming languages in the world, with a massive 8.2 million users? It's no wonder the demand for skilled Python programmers is increasing daily. If you're looking to learn Python and launch a career as a programmer, look no further than our Python Programmer Complete Bundle - QLS Endorsed.
Our bundle includes 10 comprehensive courses designed to give learners the aptitudes and understanding they need to become successful Python programmers. From Python programming for non-programmers to data science, machine learning, and web development, our courses cover everything you need to know to become a skilled Python programmer.
Why do people in the UK learn Python programming? Here's a startling statistic: the demand for Python programming skills has increased by 22.5% in the UK in the last year alone, with an average salary of £45,000 per annum. By taking our Python Programmer Complete Bundle, learners can gain the skills and knowledge they need to take advantage of this growing demand and launch a successful career in programming.
And the best part? Our bundle is endorsed by the Quality Licence Scheme, ensuring the highest quality of education. Upon completion of the courses, learners will receive 10 QLS Endorsed Certificates in Hard Copy, free of charge.
Take your first step towards a successful career in programming today with our Python Programmer Complete Bundle - QLS Endorsed and become a proficient Python programmer in no time.

This bundle comprises the following courses:
QLS Endorsed Courses:
Course 01: Python Programming for Non-Programmers Level 5
Course 02: Python Data Science for Beginners
Course 03: Machine Learning with Python
Course 04: Azure Machine Learning
Course 05: Statistics & Probability for Data Science & Machine Learning
Course 06: Introduction to Java
Course 07: HTML Web Development Crash Course
Course 08: How To Build Easy Drag & Drop Landing Pages With WordPress
Course 09: Career Coaching
Course 10: The Unstoppable Self-Confidence & High Self-Esteem Blueprint
Learning Outcomes:
Understand the fundamentals of Python programming
Use Python for data science and analysis
Apply machine learning techniques using Python
Understand the basics of Azure Machine Learning
Understand the basics of statistics and probability for data science and machine learning
Create web pages using HTML and WordPress
Develop the aptitudes and confidence needed to pursue a successful career in programming
Why Choose Imperial Academy?
Fully Online Training
QLS Endorsed & CPD Accredited Certificate
No Time Limits. Study at Your Own Pace
Expert Instructors
Audio Visual Training
Up-to-date Curriculum and Valuable Guidelines
Course Description
Our Python Programmer Complete Bundle - QLS Endorsed is a comprehensive package of ten courses designed to provide learners with the knowledge needed to become successful Python programmers. Our courses cover a wide range of topics, including Python programming for non-programmers, data science, machine learning, and web development.
Whether you're an aspiring programmer or a business owner looking to develop your website, our Python Programmer Complete Bundle has something for you. By completing our courses, learners will gain the skills and confidence needed to pursue a successful career in programming and data analysis. With our QLS Endorsed Hard Copy Certificates, learners can be confident in the quality of their education and prepared to take advantage of the growing demand for Python programming skills.
Certification: 
The Quality Licence Scheme ensures excellence and quality. These courses' learning outcomes also provide the learners with high competence in their line of work. So, QLS Endorsed courses deliver deep knowledge and add significant value to the resume.
After completing the assessments, learners will be eligible for a prestigious QLS Certificate for each endorsed course in this bundle. Moreover, the certificates will be delivered to their home free of cost!
Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.
 Who is this course for? 
Individuals interested in a career in programming and data analysis
Professionals seeking to expand their knowledge of programming and data analysis
Business owners seeking to develop their own websites and landing pages
Students seeking to gain the talents and expertise to pursue a career in programming and data analysis
Anyone interested in developing the ability and confidence needed to succeed in the rapidly growing programming and data analysis field.
 Requirements 
Anyone can enrol in this Python Programmer Complete Bundle - QLS Endorsed.
 Career path 
Python Developer: £35,000 - £75,000 per annum
Data Analyst: £25,000 - £45,000 per annum
Machine Learning Engineer: £50,000 - £100,000 per annum
Web Developer: £25,000 - £45,000 per annum
Software Engineer: £30,000 - £60,000 per annum
Business Intelligence Analyst: £30,000 - £65,000 per annum
 Certificates 
Hard Copy QLS Certificate
 Hard copy certificate - Included 
PDF Certificate
 Digital certificate - Included 
Student ID Card
 Digital certificate - Included 

Imperial Academy

Machine Learning (ML)

Data Science

Azure Machine Learning

Python Programmer Complete Bundle - QLS Endorsed

<strong>A comprehensive package for beginners to learn how to automate social media applications such as WhatsApp, YouTube, and Facebook from scratch using Python. The course will help you understand the impact of social media automation in real-world applications and provide a unique hands-on experience in developing different real-time exciting projects.</strong>
        <p>Welcome to this course on automating social media applications using Python. Let's learn the basic concepts required for automating our routine social media tasks.

We will begin with learning to automate WhatsApp and explore how to automatically send messages to individuals and groups using Python. You will learn to automate sending emails to random users with just a few lines of code. Learn to schedule tasks using Python to implement different social media projects. Explore email automation with Smtplib and link Gmail with SMTP.

We will explore how to fetch and download different stats from YouTube channels as CSV or other file formats. Finally, you will learn to post various types of content on Facebook pages, delete posts, and comment on posts. The course, however, does not cover Python programming lessons separately.

Upon completing the course, you can automate social media platforms such as WhatsApp, YouTube, Facebook, and Gmail. Create automated posts and comments, post and delete content, schedule tasks, and comprehensively advance your social media automation skills.

All resources are available at: https://github.com/PacktPublishing/Social-Media-Automation-using-Python</p>
        <h2>What You Will Learn</h2><p>Automate WhatsApp, install the toolkit, schedule and send messages<br>Link Gmail with SMTP, create email,  attach files  and send<br>Schedule, install, import, and code a simple scheduler<br>Create a YouTube API key and fetch channel and playlist information<br>Automate Facebook, post photos with captions, and comment on a post<br>Understand and implement automation packages and libraries</p>
        <h2>Audience</h2><p>This course is designed for beginners with some programming experience or even those who need to know about data analysis, data manipulation, and more. This course is for individuals wanting to understand and implement automation packages and libraries, master scheduling tasks, automate emails, automate WhatsApp, automate YouTube data, and automate Facebook posts. Basic to intermediate Python programming knowledge is required for the course.</p>
        <h2>Approach</h2><p>The course is crafted to help you understand the concepts with a unique hands-on experience in developing different real-time interesting projects. This straightforward learning-by-doing course will help you in mastering the concepts and methodology. This course is easy to understand, expressive, self-explanatory, and practical with live coding.</p>
        <h2>Key Features</h2><p>Explore the most advanced libraries to automate social media and perform automation tasks accurately * Learn with experimentation to practically implement Facebook, WhatsApp, and email automation * Learn to schedule tasks using Python to implement different social media projects</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Social-Media-Automation-using-Python</p>
        <h2>About the Author</h2><h3>AI Sciences</h3><p>AI Sciences are a group of experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science.

They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences.

Their courses have successfully helped more than 100,000 students master AI and data science.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. WhatsApp Automation</h4><p></p><br><h4>3. Email Automation</h4><p></p><br><h4>4. Scheduling</h4><p></p><br><h4>5. YouTube Automation</h4><p></p><br><h4>6. Facebook Automation</h4><p></p>

A comprehensive package for beginners to learn how to automate social media applications such as WhatsApp, YouTube, and Facebook from scratch using Python. The course will help you understand the impact of social media automation in real-world applications and provide a unique hands-on experience in developing different real-time exciting projects.
Welcome to this course on automating social media applications using Python. Let's learn the basic concepts required for automating our routine social media tasks. We will begin with learning to automate WhatsApp and explore how to automatically send messages to individuals and groups using Python. You will learn to automate sending emails to random users with just a few lines of code. Learn to schedule tasks using Python to implement different social media projects. Explore email automation with Smtplib and link Gmail with SMTP. We will explore how to fetch and download different stats from YouTube channels as CSV or other file formats. Finally, you will learn to post various types of content on Facebook pages, delete posts, and comment on posts. The course, however, does not cover Python programming lessons separately. Upon completing the course, you can automate social media platforms such as WhatsApp, YouTube, Facebook, and Gmail. Create automated posts and comments, post and delete content, schedule tasks, and comprehensively advance your social media automation skills. All resources are available at: https://github.com/PacktPublishing/Social-Media-Automation-using-Python
What You Will Learn
Automate WhatsApp, install the toolkit, schedule and send messages
Link Gmail with SMTP, create email, attach files and send
Schedule, install, import, and code a simple scheduler
Create a YouTube API key and fetch channel and playlist information
Automate Facebook, post photos with captions, and comment on a post
Understand and implement automation packages and libraries
Audience
This course is designed for beginners with some programming experience or even those who need to know about data analysis, data manipulation, and more. This course is for individuals wanting to understand and implement automation packages and libraries, master scheduling tasks, automate emails, automate WhatsApp, automate YouTube data, and automate Facebook posts. Basic to intermediate Python programming knowledge is required for the course.
Approach
The course is crafted to help you understand the concepts with a unique hands-on experience in developing different real-time interesting projects. This straightforward learning-by-doing course will help you in mastering the concepts and methodology. This course is easy to understand, expressive, self-explanatory, and practical with live coding.
Key Features
Explore the most advanced libraries to automate social media and perform automation tasks accurately * Learn with experimentation to practically implement Facebook, WhatsApp, and email automation * Learn to schedule tasks using Python to implement different social media projects
Github Repo
https://github.com/PacktPublishing/Social-Media-Automation-using-Python
About the Author
AI Sciences
AI Sciences are a group of experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
Course Outline
1. Introduction

2. WhatsApp Automation

3. Email Automation

4. Scheduling

5. YouTube Automation

6. Facebook Automation


Social Media

A comprehensive package for beginners to learn how to automate social media applications such as WhatsApp, YouTube, and Facebook from scratch using Python. The course will help you understand the impact of social media automation in real-world applications and provide a unique hands-on experience in developing different real-time exciting projects.

Social Media Automation using Python

London

<div style="color: rgb(57, 54, 79); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(57, 54, 79);"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This Python BootCamp is Instructor-led, Practical. In the12-week Python course, learn start to in-depth, leading to a good Python career.</strong></p></div><div data-testid="organizerBrief" fr-original-style="" style="box-sizing: border-box;"><div data-testid="creator-signal-main-section" fr-original-style="" style="box-sizing: border-box;"><section fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></section></div></div></div><div data-testid="organizerBrief" fr-original-style="" style="box-sizing: border-box;"><div data-testid="creator-signal-main-section" fr-original-style="" style="box-sizing: border-box;"><section fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></section></div></div></div><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><div style="color: rgb(57, 54, 79); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(57, 54, 79);"><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">PYTHON BOOTCAMP:</strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This 12-week Python Boot Camp is a practical, instructor-lead program, covering Python from start to in-depth. You will be fully fluent and confident as a Python programmer.</strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">If you have more questions goto&nbsp;<a href="http://pcworkshopslondon.co.uk/contact.html" target="_blank" rel="nofollow noopener noreferrer" data-airgap-id="66" style="color: var(--eds-control,#3659e3); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: var(--eds-control,#3659e3);">https://pcworkshopslondon.co.uk/contact.html&nbsp;</a>,</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Or&nbsp;<a href="https://pcworkshopslondon.co.uk/" target="_blank" rel="nofollow noopener noreferrer" data-airgap-id="67" style="color: var(--eds-control,#3659e3); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: var(--eds-control,#3659e3);">contact us on training@pcworkshopslondon.co.uk</a></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><a href="https://pcworkshopslondon.co.uk/contact.htm" target="_blank" rel="nofollow noopener noreferrer" data-airgap-id="68" style="color: var(--eds-control,#3659e3); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: var(--eds-control,#3659e3);">C﻿ustomise dates, course outline, arrange installments</a></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">This course will give you enough&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">practical experience and practical projects</strong>&nbsp;to code, to give you full confidence to enter into the coding profession. &nbsp;&nbsp;</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Duration:&nbsp;</strong>3 months:</p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">1 Python class per week,</li><li fr-original-style="" style="box-sizing: border-box;">Plus pratical work,</li><li fr-original-style="" style="box-sizing: border-box;">Plus personal trainer-mentor for 1-1 training,</li><li fr-original-style="" style="box-sizing: border-box;">Plus e-learning materials.</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Final project :&nbsp;</strong>Practical to upload to&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">GitHub&nbsp;</strong>and show-case</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Date and times, choose:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Fridays in London or Online&nbsp;</strong>, 10am - 5pm,</li><li fr-original-style="" style="box-sizing: border-box;">or&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Saturdays in London or Online&nbsp;</strong>, 12noon-6pm,</li><li fr-original-style="" style="box-sizing: border-box;">o﻿r negotiate your date</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Study level:</strong> Start from beginners level to in-depth, ready to work professionally.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Virtual attendance: &nbsp;</strong>online instructor-led&nbsp;</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Download</strong>: Anaconda.com</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Pre-requisites:&nbsp;</strong>General computer literacy.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Oracle Qualification:&nbsp;</strong>PCWorkshops Python Programmer Certificate</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Payments:</strong>&nbsp; You may apply to pay in installments for this Python Training course</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">COURSE OUTLINE</strong></p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">W﻿eek 1 - 4: Essentials</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Python Coding Basics</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Object Oriented programming:&nbsp;</strong>Python Object Orientated programming (OOP)</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">UX Principles:&nbsp;</strong>UX Principles and applying it on Front-ends with TKinter</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Specialised topics:&nbsp;</strong>Dates, Localization, Strings, Maths Operation , Random Number,&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Lambdas</strong></li></ol><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">W﻿eek 5 - 10 : All about data</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Data Structures:</strong>&nbsp;Lists, Tuples, Sets,&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Exceptions</strong>, I/O Fundamentals , Reading and Writing file</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Database:&nbsp;</strong>Database principles and SQL.&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Database Project:&nbsp;</strong>Python database connections and creating a database driven project</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analytics:&nbsp;</strong>Numpy. Pandas for data analytics and data queries.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analytics:&nbsp;</strong>Pandas data cleaning and restructuring, interacticting with Excel, Csv, Json,etc.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data visualisation:&nbsp;</strong>MatPlotLib</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Prediction:&nbsp;</strong>Machine Learning Basics</li></ol><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">W﻿eek 11 and 12: The final touch</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Concurrency and Multi-threading:</strong>&nbsp;Threads vs. Processes, Threading Module, Threading Event, Stop a Thread, Daemon Threads, Thread-safe Queue, Thread Pools, Locks</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Unit Testing</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">O﻿ptional&nbsp;</strong>: Replace Week 11 or 12 with Scraping using Python, ot Tkinter Front-ends</li></ol><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">I﻿NCLUDED:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">PCWorkshops Python Course Certificate on completion.</li><li fr-original-style="" style="box-sizing: border-box;">Python Course notes.</li><li fr-original-style="" style="box-sizing: border-box;">Practical Course exercises, Code Examples, Online Materials.</li><li fr-original-style="" style="box-sizing: border-box;">After the course, continuous assistance with practical and preparation for exams</li><li fr-original-style="" style="box-sizing: border-box;">Max group size on this is 4.</li><li fr-original-style="" style="box-sizing: border-box;">Portfolio: Post your Python project online.</li><li fr-original-style="" style="box-sizing: border-box;">Exam preparation and interview questions</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">MORE ABOUT THE ONLINE CLASSROOM</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Attend from your internet connection</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Instructor-led, get instant answers to your questions</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Fully interactive</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Work clearly explained with demonstrations and examples</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Practical exercises to be tried out by delegate</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">WHAT YOU WILL GAIN:</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">Skills &amp; knowledge: Python coding knowledge and understanding with good practical application &nbsp;</li><li fr-original-style="" style="box-sizing: border-box;">Certification:&nbsp;Internal PCWorkshops Python certificate</li><li fr-original-style="" style="box-sizing: border-box;">Portfolio: You will have an online portfolio of Python projects&nbsp;</li><li fr-original-style="" style="box-sizing: border-box;">Experience:&nbsp;Our comprehensive practical makes you job ready</li></ul></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F444528299%2F44980801875%2F1%2Foriginal.20230212-111230?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=bc03bf9766e6c9ca0436ac60d0be83d6" alt="" data-airgap-id="88" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F588336959%2F44980801875%2F1%2Foriginal.20230901-170557?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=e4036ff76e1af36cfba9452461b16c48" alt="" data-airgap-id="87" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F588337149%2F44980801875%2F1%2Foriginal.20230901-170614?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=cdf1fcea5ad47abc354df67b458d5237" alt="" data-airgap-id="89" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div><div data-testid="image-content" style="color: rgb(57, 54, 79); box-sizing: border-box;" fr-original-style=" color: rgb(57, 54, 79);"><img src="https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F588337349%2F44980801875%2F1%2Foriginal.20230901-170630?h=2000&w=720&auto=format%2Ccompress&q=75&sharp=10&s=839d02fa3087d55ac858bcbb697972f5" alt="" data-airgap-id="86" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div></div><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><div style="color: rgb(30, 10, 60); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(30, 10, 60);"><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><h2 fr-original-style="" style="box-sizing: border-box;">Refund Policy</h2></div><div style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">No Refunds</div>

This Python Data Analytics BootCamp is Instructor-led, Practical. In the12-week Python course, learn start to in-depth, leading to a good Python career.



Data Analytics BOOT CAMP with Python:
This 8-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts .
You will be fully fluent and confident as a Python  data analyst, with full understanding of Python Programming.
From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards
The course is a practical, instructor-lead program.

If you have more questions goto https://pcworkshopslondon.co.uk/contact.html,
Or contact us on training@pcworkshopslondon.co.uk
C﻿ustomise dates, course outline, arrange installments
This course will give you enough practical experience and practical projects to code, to give you full confidence to enter into the coding profession. 
Duration: 8 weeks:
1 Python class per week,
Plus practical work,
Plus personal trainer-mentor for 1-1 training,
Plus e-learning materials.
Final project : Practical to upload to GitHub and show-case
Date and times, choose:
Choose a start date from the list , to make you booking, and from there once a week for 8 weeks.
Study level: Start from beginners level to in-depth, ready to work professionally.
Virtual attendance: online instructor-led 
Download: Anaconda.com
Pre-requisites: General computer literacy.
Oracle Qualification: PCWorkshops Python Programmer Certificate
Payments: You may apply to pay in instalments for this Python Training course
COURSE OUTLINE
W﻿eek 1 - 3:  Essentials
Python Coding Basics
Object Oriented programming: Python Object Orientated programming (OOP)
UX Principles: UX Principles and applying it on Front-ends with TKinter

Specialised topics: Dates, Localization, Strings, Maths Operation , Random Number, Lambdas
W﻿eek 4 - 7: All about data
Python Data Structures: Lists, Tuples, Sets, Exceptions, I/O Fundamentals , Reading and Writing file . 

Database: Database principles and SQL. Database Project: Python database connections and creating a database driven project
Data Analytics: Numpy. Pandas for data analytics and data queries.
Data Analytics: Pandas data cleaning and restructuring, interacticting with Excel, Csv, Json,etc.
Data visualisation: MatPlotLib

Prediction: Machine Learning Basics
W﻿eek 8: The final touch
Python Concurrency and Multi-threading: Threads vs. Processes, Threading Module, Threading Event, Stop a Thread, Daemon Threads, Thread-safe Queue, Thread Pools, Locks
Python Unit Testing

I﻿NCLUDED:
PCWorkshops Python Course Certificate on completion.
Python Course notes.
Practical Course exercises, Code Examples, Online Materials.
After the course, continuous assistance with practical and preparation for exams
Max group size on this is 4.
Portfolio: Post your Python project online.
Exam preparation and interview questions
MORE ABOUT THE ONLINE CLASSROOM
Attend from your internet connection
Instructor-led, get instant answers to your questions
Fully interactive
Work clearly explained with demonstrations and examples
Practical exercises to be tried out by delegate
WHAT YOU WILL GAIN:
Skills & knowledge: Python coding knowledge and understanding with good practical application
Certification: Internal PCWorkshops Python certificate
Portfolio: You will have an online portfolio of Python projects
Experience: Our comprehensive practical makes you job ready






Refund Policy
No Refunds

PCWorkshops

PYTHON BOOTCAMP:



This 12-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts .



You will be fully fluent and confident as a Python  data analyst, with full understanding of Python Programming.



From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards



The course is a practical, instructor-lead program.



Data Analytics BootCamp, 12-weeks, Online Instructor-led

Python Bootcamp Saturdays, Online

<article>
<div>
<h5>Python Data Analytics Course</h5>
</div>
<div></div>
<p>  						 
	</p><div>
	<ul>
		
<div>
    <div id="widget-reviews"><div><h3>Python Beginners Course</h3><div><span></span><span></span><span></span><span></span><span></span><div>(4.6)</div></div><span></span><br /><div>Based on 5 reviews</div><div><div><div id="previous"><i></i></div><div id="currentReview"><div> Excellent course, led by a knowledg</div><div> Excellent course, led by a knowledgeable and engaging instructor. I attended ...</div><div> Helen S</div></div><div id="next"><i></i></div></div></div></div></div>
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		<p>
		<b>Python Data Course. </b>Data Analytics with Python using Numpy, Pandas, Dataframes. 
		<br />Most attendees are in-work Data Professional.
		<br />Private individuals are very welcome. 
		<br /><b>Our Style: </b>Hands-on, Practical  
		<br /><b>Location:  </b>Online, Instructor-led  
		<br /><b>Download:  </b>anaconda.com
		<br /><b>Duration:  </b>2 consecutive days, 10am - 5pm
		<br /><b>Times: </b>arrange a time for your time zone
	    </p>
	</ul>	

<p></p>
</div></article>

<div>
	  <div>
			<h5>Python Data Analytics Course </h5>
	  </div>
	  <div></div>
	  <p>  
	  <br /> 
	  </p>
	<div>
	<h5>Session 1: Database: </h5>
	</div>
	<div></div>
	<div> 
					<p>  <strong>SQLite3:</strong>  
					<br /> Linking with SQL Database.
					<br /> Create, Amend and Drop Tables.
					<br /> Insert, Update and delete records.
					<br /> Select queries.
					<br /> Traverse and display query results.
					<br /> Using parameters in queries.
					<br /> Get metadata about tables and columns. 
					</p> 
			</div>
	<div>
	<h5>Session 2: Data Structures</h5>
	</div> <div></div>
	<div> 
				<p> <strong>Data Structures:</strong>  
					<br />Tuples.
					<br />Sets.
					<br />Dictionary. Nested Dictionary.
					<br />Json Files.
				</p>
			</div>
	<div>
	<h5>Session 3: Python Numpy</h5>
	</div> <div></div>
	<div> 
				<p>  <strong>Numpy:</strong>  
				<br />The Python NumPy Module:
				<br />Working with arrays, create data using arrays.
				<br />Array manipulation.
				<br />String functions on arrays. 
				<br />Math, arithmetic and statistical functions.
				
				</p>
			</div>
	<div>
	<h5>Session 4: Python Pandas Dataframes and data importing</h5>
	</div> <div></div>
	<div>
		<p>  <strong>Python Dataframes</strong>  
		<br /> Data Series. Date/ Time Functionality. Time series.
		<br /> Creating Dataframes, Indexing. 
		<br />Dict to Dataframe, Dataframe to Dict.
		<br />Csv to Dataframe, Dataframe to csv.
		<br />Excel to Dataframe, Dataframe to Excel.
		</p>
	</div>

	<div>
	<h5>Session 5: Data Cleaning and preparation</h5>
	</div> <div></div>
	<div>	 
		<p> <strong>Data Cleaning and preparation</strong>  
		<br />Finding, replacing and filtering missing data.
		<br />Remove Duplicates.
		<br />Replacing values.
		<br />Renaming Axis Indexes.
		</p>
	</div>
	
	<div>
	<h5>Session 6: Pandas Data Wrangling</h5>
	</div> <div></div>
	<div>	 
		<p> <strong>Data Wrangling:</strong>   
		
		<br />Indexing, Re-indexing, 
		<br />Reorder, 
		<br />Sorting, Stastitics, 
			<br />Transforming data using  
		<br />Dataframe Joins, Merging, Concatenation, Overlap, Append, zip. 
		 
		</p>
	</div>
	
	<div>
	<h5>Week 6: Pandas Data Analysis</h5>
	</div> <div></div>
	<div>	 
		<p> <strong>Data Analysis:</strong>   
		<br /> Sorting. 
		<br /> Analysing and finding data using filter, slicing and dataframe queries. 
		<br /> Finding data by Iteration.
		<br /> Find statistics: Functions, Aggregate functions. 
		<br /> Unique values.
		<br />String objects, Regex. 
		</p>
	</div>
</div>
 

<div>   

	   <div id="cincluded">
		  <div>
			 <h5>Included with the Python Course</h5>
		  </div>

		  <article>
		  <div>
			 <ul>
				<li>PCWorkshops Course Certificate on completion  </li>
									   
				<li>Python Course Notes</li>
				<li>Python Code Examples</li>
				<li>Practical Python Course exercises and Code Samples</li>
				<li>After the course: 1-Hour personalised online revision session</li>
			 </ul>
		  </div>
		  </article>
	   </div>
				    
<div>
	                  <div>
	                     <h5 id="cincluded2">Book the Python Course</h5>
	                  </div>
 
	 
		<div id="eventbrite-widget-container-48025096356"></div>
		
		  		
					
					 
</div>
				   <div id="caboutus">
	                  <div>
	                     <h5>About us</h5>
	                  </div> 
	                  	<article>
					    <div>
					    	<div>
					    		<div>
					    			
					    			<h5>Our experienced trainers are award winners. </h5> 
					    			<ul>
										<li>
											More about us
										</li>
										<li>
											FAQ's
										</li>
										<li>
											Client Comments  
										</li>
									 </ul>
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	        </div>

Python Data Analytics Course

Python Data Analytics with Python using 
Numpy, 
Pandas, Dataframes. 

Most attendees are in-work Data Professional.  Private individuals are very welcome. 
Our Style: Hands-on, Practical 
Location: Online, Instructor-led 
Download: anaconda.com 
Duration: 1 consecutive day, 11am-5pm
Dates Times: You may let us know which dates your would prefer, or attend as scheduled

Python Data Analytics Course Description
  
Session 1: Database:
 SQLite3: 
 Linking with SQL Database. 
 Create, Amend and Drop Tables. 
 Insert, Update and delete records. 
 Select queries. 
 Traverse and display query results. 
 Using parameters in queries. 
 Get metadata about tables and columns. 
Session 2: Data Structures
 Data Structures: 
Tuples. 
Sets. 
Dictionary. Nested Dictionary. 
Json Files. 
Session 3: Python Numpy
 Numpy: 
The Python NumPy Module: 
Working with arrays, create data using arrays. 
Array manipulation. 
String functions on arrays. 
Math, arithmetic and statistical functions. 
Session 4: Python Pandas Dataframes and data importing
 Python Dataframes 
 Data Series. Date/ Time Functionality. Time series. 
 Creating Dataframes, Indexing. 
Dict to Dataframe, Dataframe to Dict. 
Csv to Dataframe, Dataframe to csv. 
Excel to Dataframe, Dataframe to Excel. 
Session 5: Data Cleaning and preparation
 Data Cleaning and preparation 
Finding, replacing and filtering missing data. 
Remove Duplicates. 
Replacing values. 
Renaming Axis Indexes. 
Session 6: Pandas Data Wrangling
 Data Wrangling: 
Indexing, Re-indexing, 
Reorder, 
Sorting, Stastitics, 
Transforming data using 
Dataframe Joins, Merging, Concatenation, Overlap, Append, zip. 
Week 6: Pandas Data Analysis
 Data Analysis: 
 Sorting. 
 Analysing and finding data using filter, slicing and dataframe queries. 
 Finding data by Iteration. 
 Find statistics: Functions, Aggregate functions. 
 Unique values. 
String objects, Regex. 
Included with the Python Course
PCWorkshops Course Certificate on completion
Python Course Notes
Python Code Examples
Practical Python Course exercises and Code Samples
After the course: 1-Hour personalised online revision session
 

Pandas

Python Data Analytics with Python using 



Numpy, 




Pandas, Dataframes. 





Most attendees are in-work Data Professional.  Private individuals are very welcome. 
Our Style: Hands-on, Practical 
Location: Online, Instructor-led 



Python Data Analytics Course

General admission

<article>
					<div>
						<h5>Python Unittest Course Summary.</h5>
					</div>
					<div></div>
					<p>
						<span> </span>
						<br />Testing plays a major role in software development. 
						<br />This course will explain Python Unit Testing using the unittest built-in module. 
						
						<br />We'll cover issues before going to the production itself and the basics of testing in Python. 
						 
						 
						<br /><b>Location: </b>Instructor-led, Online.
						<br /><b>Our Style: </b>Hands-on, Practical Course.
						<br /><b>Group Size: </b>Max 4 people per group.  
						<br /><b>Qualification: </b>PCWorkshops Unittest Certification
						<br /><b>Duration: </b>1-Day, 10am-5pm
						
				  	</p>
	    		</article> 

	<div>  
				    <div id="cincluded">
	                    <div>
							<h5>Unittest topics </h5>
	                    </div> 
							<br />UnitTest Framework - Home
							<br />UnitTest Framework - Overview
							<br />UnitTest - Framework
							<br />UnitTest - API
							<br />UnitTest - Assertion
							<br />UnitTest - Test Discovery
							<br />UnitTest - Skip Test
							<br />UnitTest - Exceptions Test
							<br />UnitTest - Time Test
							<br />UnitTest - Unittest2
							<br />UnitTest - Signal Handling
							<br />UnitTest - Doctest
							<br />UnitTest - Doctest API
							<br />UnitTest - Py.test Module
							<br />Nose Testing - Framework
							<br />Nose Testing - Tools
	                </div>
	    <div></div>
		 
	               <div id="cincluded">
	                  <div>
	                     <h5>Included with Python Unittest Course</h5>
	                  </div>

	                  <article>
	                  <div>
	                     <ul>
	                        <li>Python Unittest Certificate on completion  </li>
							<li>Python Unittest Videos</li>	                       
						    <li>Python Unittest Notes</li>
							<li>Python Unittest Examples</li>
	                        <li>Practical Python Unittest exercises</li>
	                        
	                     </ul>
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	                  </article>
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	                  <div>
	                     <h5>Book Unittest Course</h5>
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	                     <h5>About us</h5>
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					    			<h5>Our experienced trainers are award winners. </h5> 
					    			<ul>
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											More about us
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	    </div>

Python Unittest Course Summary.
   
Testing plays a major role in software development. 
This course will explain Python Unit Testing using the unittest built-in module. 
We'll cover issues before going to the production itself and the basics of testing in Python. 
Location: Instructor-led, Online. 
Our Style: Hands-on, Practical Course. 
Group Size: Max 4 people per group. 
Qualification: PCWorkshops Unittest Certification 
Duration: 1-Day, 10am-5pm 
Unittest topics  
UnitTest Framework - Home 
UnitTest Framework - Overview 
UnitTest - Framework 
UnitTest - API 
UnitTest - Assertion 
UnitTest - Test Discovery 
UnitTest - Skip Test 
UnitTest - Exceptions Test 
UnitTest - Time Test 
UnitTest - Unittest2 
UnitTest - Signal Handling 
UnitTest - Doctest 
UnitTest - Doctest API 
UnitTest - Py.test Module 
Nose Testing - Framework 
Nose Testing - Tools
Included with Python Unittest Course
Python Unittest Certificate on completion
Python Unittest Videos
Python Unittest Notes
Python Unittest Examples
Practical Python Unittest exercises
 
 


Software Testing & QA

Unit Testing

Instructor

Python Unittest Course

<article>
					<div>
						<h5>Python Beginners Course, 1-Day.</h5>
					</div>
					<div></div>
					<p>
						<span> </span>
						<br />This course covers the essential Python Basics, in our interactive, instructor led Live Virtual Classroom.
						<br />	This Python Basics course is a very good introduction to essential fundamental programming concepts using Python as programming language.
							<br />These concepts are daily used by programmers and is your first step to working as a programmer.
							<br />By the end, you'll be comfortable in programming Python code.
							<br />You will have done small projects.
							<br />This will serve for you as examples and samples that you can use to build larger projects.
						 
						<br /><b>Location: </b>Instructor-led, Online.
						<br /><b>Our Style: </b>Hands-on, Practical Course.
						<br /><b>Group Size: </b>Max 4 people per group.  
						<br /><b>Qualification: </b>PCWorkshops Beginners Certification
						<br /><b>Hours: </b>1 Day, 10am-5pm
						<br /><b>Download: </b>anaconda.com
						
				  	</p>
	    		</article> 
				
				<article>
					<div>
						<h5>Python Beginners Course, Course Outline.</h5>
					</div>
					<div></div>
					<p>
						<span> </span>
						<br />
						<b>Session 1: Basics</b>
 
						<br />Python Data Types and Variables:
						Working with variables and its scope; Conversion and casting types in Python.
						<br />Operators and Expressions.
						 

						<br />Decision Making: If statement; If - else statement; If- elif - else statement; Nested if - else. 
						
						<br />Using Loops: The while, while-else. For loop; Jump statements: break, continue; Nesting loops.
<br />
						<br /><b>Session 2: Data Structures</b>
						 
						<br />Lists.
						<br />Tuples.
						<br />Sets.
						<br />Dictionary. Nested Dictionary.
						<br />Json Files.
<br />
						<br /><b>Session 3: Python Built-in functions</b> 
						<br />Strings Functions. 
						<br />Maths Functions.
						<br />Random Functions.
						<br />Python Date functions.
<br />
						<br /><b>Session 4: OOP: Using Modules, functions, classes</b>
						 
						<br />Creating and using custom Functions.
						
						<br />Using parameters and return values.

						<br />Introduction to Classes and Objects:
						<br />Creating a Class. Creating and using Objects. 
						<br />Class Constructors.
						<br />Inheritance. Overload.
<br />
						<br /><b>Session 5: Access SQL Database Via Python</b>
						 
						<br /><b>Connection details:</b> Connect to a database using access codes.
						<br /><b>Select Queries:</b> Retrieving records and iterating results sets, using variables and parameters in queries.
						<br /><b>Working with DDL comands: </b>Create a database, drop a database. Create a table, alter tables, drop a table.
						<br /><b>Working with DML Commands: </b>Insert, delete, update records.

						<br /><br /><br /><b>Session 6: Pandas Dataframe Basics</b>
						 
						<br />Getting data into a dataframe:
						<br />Dict to Dataframe, Dataframe to Dict.
						<br />Excel To Dict, Dict to Excel , working with Excel data, multiple Excel sheets.
						<br />Dataframe basics:
						<br />Slicing Dataframes, Querying, filter and sort a dataframe,
						
						<br />Working with duplicates and null-values, Sampling, Group by, Join.
						
						
						
				  	</p>
	    		</article> 

			    <div>  
				     
	     
	               <div id="cincluded">
	                  <div>
	                     <h5>Python Beginners Course Materials</h5>
	                  </div>

	                  <article>
	                  <div>
	                     <ul>
	                        <li>Python Beginners Certificate on completion  </li>
							                  
						    <li>Python Beginners Notes</li>
							<li>Python Code Examples</li>
	                        <li>Practical Python Beginners exercises</li>
	                        
	                     </ul>
	                  </div>
						   
	                  </article>
	               </div>
			
				    <article>
					<div>
						<h5>More about Python</h5>
					</div>
					<div></div>
					<p>
							Python is the Easiest Programming Language to Learn 
				 				Anybody can learn how to use it and  entry-level coders get access to the industry in a 
									fast-tacked manner and can from there migrate to other languages.
								 <br />
								 Learning to code  is now more important than ever, since a growing number of application and <br />
								  digital products require programmers. <br />

								 Additionally, as an interpreted coding language, Python allows you to run each line of code <br />
								 after writing it, rather 
								 than other compiled languages, such as C++. <br />
								 This is particularly useful for beginners, as they can test their work and 
								  gain instant feedback, <br />
								  to make amendments where required and continuously improve. A Python Course will
								explain to you how to do this<br />
								  <br />
								 Python is a Versatile Coding Language <br />
								 Use it for : <br /> 
								 Data mining ,  Data analytics , Data visualisation ,  AI and machine learning,  Building apps ,
								 Web development and web application development ,  Developing games,  Quantitative and qualitative analysis,
								 Data Engineering,  A Python Course is the start of all of the above.
								 <br /><br />
								 Learning Python will Improve Your Job Prospects <br />
								 As the fastest-growing computer programming language in the world, 
								 Python is also one of the most in-demand jobs. According to 2022 LinkedIn data,   
								Python is the second most in-demand programming language, after Java.  
								All of this makes a Python Course essential. 
				  	</p>
	    		</article> 
					  
				    
					
					
					
				   <div id="booking">
	                  <div>
	                     <h5>Book the Python Beginners Course</h5>
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				   <div id="cincluded">
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	                     <h5>About us</h5>
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					    			<h5>Our experienced trainers are award winners. </h5> 
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	            </div>

Python Beginners Course, 1-Day.
   
This course covers the essential Python Basics, in our interactive, instructor led Live Virtual Classroom. 
	This Python Basics course is a very good introduction to essential fundamental programming concepts using Python as programming language. 
These concepts are daily used by programmers and is your first step to working as a programmer. 
By the end, you'll be comfortable in programming Python code. 
You will have done small projects. 
This will serve for you as examples and samples that you can use to build larger projects. 

Location: Instructor-led, Online. 
Our Style: Hands-on, Practical Course. 
Group Size: Max 4 people per group. 
Qualification: PCWorkshops Beginners Certification 
Hours: 1 Day, 10am-5pm 
Download: anaconda.com 
Python Beginners Course, Course Outline.
  Session 1: Basics 
Python Data Types and Variables: Working with variables and its scope; Conversion and casting types in Python. 
Operators and Expressions. 
Decision Making: If statement; If - else statement; If- elif - else statement; Nested if - else. 
Using Loops: The while, while-else. For loop; Jump statements: break, continue; Nesting loops.

 
Session 2: Data Structures 
Lists. 
Tuples. 
Sets. 
Dictionary. Nested Dictionary. 
Json Files.

 
Session 3: Python Built-in functions 
Strings Functions. 
Maths Functions. 
Random Functions. 
Python Date functions.

 
Session 4: OOP: Using Modules, functions, classes 
Creating and using custom Functions. 
Using parameters and return values. 
Introduction to Classes and Objects: 
Creating a Class. Creating and using Objects. 
Class Constructors. 
Inheritance. Overload.

 
Session 5: Access SQL Database Via Python 
Connection details: Connect to a database using access codes. 
Select Queries: Retrieving records and iterating results sets, using variables and parameters in queries. 
Working with DDL comands: Create a database, drop a database. Create a table, alter tables, drop a table. 
Working with DML Commands: Insert, delete, update records. 


Session 6: Pandas Dataframe Basics 
Getting data into a dataframe: 
Dict to Dataframe, Dataframe to Dict. 
Excel To Dict, Dict to Excel , working with Excel data, multiple Excel sheets. 
Dataframe basics: 
Slicing Dataframes, Querying, filter and sort a dataframe, 
Working with duplicates and null-values, Sampling, Group by, Join. 
Python Beginners Course Materials
Python Beginners Certificate on completion
Python Beginners Notes
Python Code Examples
Practical Python Beginners exercises
More about Python
 Python is the Easiest Programming Language to Learn Anybody can learn how to use it and entry-level coders get access to the industry in a fast-tacked manner and can from there migrate to other languages. 
 Learning to code is now more important than ever, since a growing number of application and 
 digital products require programmers. 
 Additionally, as an interpreted coding language, Python allows you to run each line of code 
 after writing it, rather than other compiled languages, such as C++. 
 This is particularly useful for beginners, as they can test their work and gain instant feedback, 
 to make amendments where required and continuously improve. A Python Course will explain to you how to do this
 
 Python is a Versatile Coding Language 
 Use it for : 
 Data mining , Data analytics , Data visualisation , AI and machine learning, Building apps , Web development and web application development , Developing games, Quantitative and qualitative analysis, Data Engineering, A Python Course is the start of all of the above. 

 Learning Python will Improve Your Job Prospects 
 As the fastest-growing computer programming language in the world, Python is also one of the most in-demand jobs. According to 2022 LinkedIn data, Python is the second most in-demand programming language, after Java. All of this makes a Python Course essential. 
 

Online Course Creation

Programming Fundamentals

Programming Languages

Computer Skills

his course covers the essential Python Basics, in our interactive, instructor led Live Virtual Classroom. 
	This Python Basics course is a very good introduction to essential fundamental programming concepts using Python as programming language. 
These concepts are daily used by programmers and is your first step to working as a programmer. 
By the end, you'll be comfortable in programming Python code. 
You will have done small projects. 
This will serve for you as examples and samples that you can use to build larger projects. 

Python Beginners Course, 1-Day

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p></p><p>Students in this course are interested in Azure development or in passing the Microsoft Azure Developer Associate certification exam.</p><p></p><p></p><p>This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions.</p><p></p>Prerequisites<p>To be successful in this course, learners should have the following: Hands-on experience with Azure IaaS and PaaS solutions, and the Azure Portal. Experience writing in an Azure supported language at the intermediate level. (C#, JavaScript, Python, or Java) Ability to write code to connect and perform operations on, a SQL or NoSQL database product. (SQL Server, Oracle, MongoDB, Cassandra or similar) Experience writing code to handle authentication, authorization, and other security principles at the intermediate level. A general understanding of HTML, the HTTP protocol and REST API interfaces.</p></div><div id="course-pills-2"><h3>1 - Explore Azure App Service</h3> <ul> <li>Examine Azure App Service</li> <li>Examine Azure App Service plans</li> <li>Deploy to App Service</li> <li>Explore authentication and authorization in App Service</li> <li>Discover App Service networking features</li> </ul> <h3>2 - Configure web app settings</h3> <ul> <li>Configure application settings</li> <li>Configure general settings</li> <li>Configure path mappings</li> <li>Enable diagnostic logging</li> <li>Configure security certificates</li> </ul> <h3>3 - Scale apps in Azure App Service</h3> <ul> <li>Examine autoscale factors</li> <li>Identify autoscale factors</li> <li>Enable autoscale in App Service</li> <li>Explore autoscale best practices</li> </ul> <h3>4 - Explore Azure App Service deployment slots</h3> <ul> <li>Explore staging environments</li> <li>Examine slot swapping</li> <li>Swap deployment slots</li> <li>Route traffic in App Service</li> </ul> <h3>5 - Explore Azure Functions</h3> <ul> <li>Discover Azure Functions</li> <li>Compare Azure Functions hosting options</li> <li>Scale Azure Functions</li> </ul> <h3>6 - Develop Azure Functions</h3> <ul> <li>Explore Azure Functions development</li> <li>Create triggers and bindings</li> <li>Connect functions to Azure services</li> </ul> <h3>7 - Explore Azure Blob storage</h3> <ul> <li>Explore Azure Blob storage</li> <li>Discover Azure Blob storage resource types</li> <li>Explore Azure Storage security features</li> <li>Discover static website hosting in Azure Storage</li> </ul> <h3>8 - Manage the Azure Blob storage lifecycle</h3> <ul> <li>Explore the Azure Blob storage lifecycle</li> <li>Discover Blob storage lifecycle policies</li> <li>Implement Blob storage lifecycle policies</li> <li>Rehydrate blob data from the archive tier</li> </ul> <h3>9 - Work with Azure Blob storage</h3> <ul> <li>Explore Azure Blob storage client library</li> <li>Create a client object</li> <li>Manage container properties and metadata by using .NET</li> <li>Set and retrieve properties and metadata for blob resources by using REST</li> </ul> <h3>10 - Explore Azure Cosmos DB</h3> <ul> <li>Identify key benefits of Azure Cosmos DB</li> <li>Explore the resource hierarchy</li> <li>Explore consistency levels</li> <li>Choose the right consistency level</li> <li>Explore supported APIs</li> <li>Discover request units</li> </ul> <h3>11 - Work with Azure Cosmos DB</h3> <ul> <li>Explore Microsoft .NET SDK v3 for Azure Cosmos DB</li> <li>Create stored procedures</li> <li>Create triggers and user-defined functions</li> <li>Explore change feed in Azure Cosmos DB</li> </ul> <h3>12 - Manage container images in Azure Container Registry</h3> <ul> <li>Discover the Azure Container Registry</li> <li>Explore storage capabilities</li> <li>Build and manage containers with tasks</li> <li>Explore elements of a Dockerfile</li> </ul> <h3>13 - Run container images in Azure Container Instances</h3> <ul> <li>Explore Azure Container Instances</li> <li>Run containerized tasks with restart policies</li> <li>Set environment variables in container instances</li> <li>Mount an Azure file share in Azure Container Instances</li> </ul> <h3>14 - Implement Azure Container Apps</h3> <ul> <li>Explore Azure Container Apps</li> <li>Explore containers in Azure Container Apps</li> <li>Implement authentication and authorization in Azure Container Apps</li> <li>Manage revisions and secrets in Azure Container Apps</li> <li>Explore Dapr integration with Azure Container Apps</li> </ul> <h3>15 - Explore the Microsoft identity platform</h3> <ul> <li>Explore the Microsoft identity platform</li> <li>Explore service principals</li> <li>Discover permissions and consent</li> <li>Discover conditional access</li> </ul> <h3>16 - Implement authentication by using the Microsoft Authentication Library</h3> <ul> <li>Explore the Microsoft Authentication Library</li> <li>Initialize client applications</li> </ul> <h3>17 - Implement shared access signatures</h3> <ul> <li>Discover shared access signatures</li> <li>Choose when to use shared access signatures</li> <li>Explore stored access policies</li> </ul> <h3>18 - Explore Microsoft Graph</h3> <ul> <li>Discover Microsoft Graph</li> <li>Query Microsoft Graph by using REST</li> <li>Query Microsoft Graph by using SDKs</li> <li>Apply best practices to Microsoft Graph</li> </ul> <h3>19 - Implement Azure Key Vault</h3> <ul> <li>Explore Azure Key Vault</li> <li>Discover Azure Key Vault best practices</li> <li>Authenticate to Azure Key Vault</li> </ul> <h3>20 - Implement managed identities</h3> <ul> <li>Explore managed identities</li> <li>Discover the managed identities authentication flow</li> <li>Configure managed identities</li> <li>Acquire an access token</li> </ul> <h3>21 - Implement Azure App Configuration</h3> <ul> <li>Explore the Azure App Configuration service</li> <li>Create paired keys and values</li> <li>Manage application features</li> <li>Secure app configuration data</li> </ul> <h3>22 - Explore API Management</h3> <ul> <li>Discover the API Management service</li> <li>Explore API gateways</li> <li>Explore API Management policies</li> <li>Create advanced policies</li> <li>Secure APIs by using subscriptions</li> <li>Secure APIs by using certificates</li> </ul> <h3>23 - Explore Azure Event Grid</h3> <ul> <li>Explore Azure Event Grid</li> <li>Discover event schemas</li> <li>Explore event delivery durability</li> <li>Control access to events</li> <li>Receive events by using webhooks</li> <li>Filter events</li> </ul> <h3>24 - Explore Azure Event Hubs</h3> <ul> <li>Discover Azure Event Hubs</li> <li>Explore Event Hubs Capture</li> <li>Scale your processing application</li> <li>Control access to events</li> <li>Perform common operations with the Event Hubs client library</li> </ul> <h3>25 - Discover Azure message queues</h3> <ul> <li>Choose a message queue solution</li> <li>Explore Azure Service Bus</li> <li>Discover Service Bus queues, topics, and subscriptions</li> <li>Explore Service Bus message payloads and serialization</li> <li>Explore Azure Queue Storage</li> <li>Create and manage Azure Queue Storage and messages by using .NET</li> </ul> <h3>26 - Monitor app performance</h3> <ul> <li>Explore Application Insights</li> <li>Discover log-based metrics</li> <li>Instrument an app for monitoring</li> <li>Select an availability test</li> <li>Troubleshoot app performance by using Application Map</li> </ul> <h3>27 - Develop for Azure Cache for Redis</h3> <ul> <li>Explore Azure Cache for Redis</li> <li>Configure Azure Cache for Redis</li> <li>Interact with Azure Cache for Redis by using .NET</li> </ul> <h3>28 - Develop for storage on CDNs</h3> <ul> <li>Explore Azure Content Delivery Networks</li> <li>Control cache behavior on Azure Content Delivery Networks</li> <li>Interact with Azure Content Delivery Networks by using .NET</li> </ul></div>

Duration
5 Days
30 CPD hours
This course is intended for

Students in this course are interested in Azure development or in passing the Microsoft Azure Developer Associate certification exam.


This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions.

Prerequisites
To be successful in this course, learners should have the following: Hands-on experience with Azure IaaS and PaaS solutions, and the Azure Portal. Experience writing in an Azure supported language at the intermediate level. (C#, JavaScript, Python, or Java) Ability to write code to connect and perform operations on, a SQL or NoSQL database product. (SQL Server, Oracle, MongoDB, Cassandra or similar) Experience writing code to handle authentication, authorization, and other security principles at the intermediate level. A general understanding of HTML, the HTTP protocol and REST API interfaces.
1 - Explore Azure App Service
Examine Azure App Service
Examine Azure App Service plans
Deploy to App Service
Explore authentication and authorization in App Service
Discover App Service networking features
2 - Configure web app settings
Configure application settings
Configure general settings
Configure path mappings
Enable diagnostic logging
Configure security certificates
3 - Scale apps in Azure App Service
Examine autoscale factors
Identify autoscale factors
Enable autoscale in App Service
Explore autoscale best practices
4 - Explore Azure App Service deployment slots
Explore staging environments
Examine slot swapping
Swap deployment slots
Route traffic in App Service
5 - Explore Azure Functions
Discover Azure Functions
Compare Azure Functions hosting options
Scale Azure Functions
6 - Develop Azure Functions
Explore Azure Functions development
Create triggers and bindings
Connect functions to Azure services
7 - Explore Azure Blob storage
Explore Azure Blob storage
Discover Azure Blob storage resource types
Explore Azure Storage security features
Discover static website hosting in Azure Storage
8 - Manage the Azure Blob storage lifecycle
Explore the Azure Blob storage lifecycle
Discover Blob storage lifecycle policies
Implement Blob storage lifecycle policies
Rehydrate blob data from the archive tier
9 - Work with Azure Blob storage
Explore Azure Blob storage client library
Create a client object
Manage container properties and metadata by using .NET
Set and retrieve properties and metadata for blob resources by using REST
10 - Explore Azure Cosmos DB
Identify key benefits of Azure Cosmos DB
Explore the resource hierarchy
Explore consistency levels
Choose the right consistency level
Explore supported APIs
Discover request units
11 - Work with Azure Cosmos DB
Explore Microsoft .NET SDK v3 for Azure Cosmos DB
Create stored procedures
Create triggers and user-defined functions
Explore change feed in Azure Cosmos DB
12 - Manage container images in Azure Container Registry
Discover the Azure Container Registry
Explore storage capabilities
Build and manage containers with tasks
Explore elements of a Dockerfile
13 - Run container images in Azure Container Instances
Explore Azure Container Instances
Run containerized tasks with restart policies
Set environment variables in container instances
Mount an Azure file share in Azure Container Instances
14 - Implement Azure Container Apps
Explore Azure Container Apps
Explore containers in Azure Container Apps
Implement authentication and authorization in Azure Container Apps
Manage revisions and secrets in Azure Container Apps
Explore Dapr integration with Azure Container Apps
15 - Explore the Microsoft identity platform
Explore the Microsoft identity platform
Explore service principals
Discover permissions and consent
Discover conditional access
16 - Implement authentication by using the Microsoft Authentication Library
Explore the Microsoft Authentication Library
Initialize client applications
17 - Implement shared access signatures
Discover shared access signatures
Choose when to use shared access signatures
Explore stored access policies
18 - Explore Microsoft Graph
Discover Microsoft Graph
Query Microsoft Graph by using REST
Query Microsoft Graph by using SDKs
Apply best practices to Microsoft Graph
19 - Implement Azure Key Vault
Explore Azure Key Vault
Discover Azure Key Vault best practices
Authenticate to Azure Key Vault
20 - Implement managed identities
Explore managed identities
Discover the managed identities authentication flow
Configure managed identities
Acquire an access token
21 - Implement Azure App Configuration
Explore the Azure App Configuration service
Create paired keys and values
Manage application features
Secure app configuration data
22 - Explore API Management
Discover the API Management service
Explore API gateways
Explore API Management policies
Create advanced policies
Secure APIs by using subscriptions
Secure APIs by using certificates
23 - Explore Azure Event Grid
Explore Azure Event Grid
Discover event schemas
Explore event delivery durability
Control access to events
Receive events by using webhooks
Filter events
24 - Explore Azure Event Hubs
Discover Azure Event Hubs
Explore Event Hubs Capture
Scale your processing application
Control access to events
Perform common operations with the Event Hubs client library
25 - Discover Azure message queues
Choose a message queue solution
Explore Azure Service Bus
Discover Service Bus queues, topics, and subscriptions
Explore Service Bus message payloads and serialization
Explore Azure Queue Storage
Create and manage Azure Queue Storage and messages by using .NET
26 - Monitor app performance
Explore Application Insights
Discover log-based metrics
Instrument an app for monitoring
Select an availability test
Troubleshoot app performance by using Application Map
27 - Develop for Azure Cache for Redis
Explore Azure Cache for Redis
Configure Azure Cache for Redis
Interact with Azure Cache for Redis by using .NET
28 - Develop for storage on CDNs
Explore Azure Content Delivery Networks
Control cache behavior on Azure Content Delivery Networks
Interact with Azure Content Delivery Networks by using .NET

Nexus Human

Microsoft AZ-900

Microsoft AZ-104

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

AWS Certified Solutions Architect

AZ-204T00 Developing Solutions for Microsoft Azure

<strong>Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.</strong>
        <p>This course will teach you Python in a practical manner, complete with examples, quizzes, exercises, and more. You will learn when to use Python 2 and Python 3; both versions are covered in the course and you will learn to program in both. You'll learn how to take tedious and repetitious tasks and turn them into programs that will save you time and simplify your life on Linux, UNIX, or MAC systems. You will learn how to prepare your computer for programming in Python; how to work with various data types including strings, lists, tuples, dictionaries, Booleans; how to perform mathematical operations using Python, and more.</p>
        <h2>What You Will Learn</h2><p>When to use Python 2 and when to use Python 3.<br>How to install Python on Windows, Mac, and Linux.<br>How to prepare your computer for programming in Python.<br>The various ways to run a Python program on Windows, Mac, and Linux.<br>Suggested text editors and Integrated Development Environments to use when coding in Python.<br>How to work with various data types including strings, lists, tuples, dictionaries, Booleans, and more.<br>What variables are and when to use them.<br>How to perform mathematical operations using Python.<br>How to capture input from a user.<br>Ways to control the flow of your programs.<br>The importance of white space in Python.<br>How to organize your Python programs: learn what goes where.<br>What modules are, when you should use them, and how to create your own.<br>How to define and use functions.<br>Important built-in Python functions that you ll use often.<br>How to read from and write to files.<br>The difference between binary and text files.<br>Various ways of getting help, including finding Python documentation.<br></p>
        <h2>Audience</h2><p>This course targets anyone interested in Python programming, Python scripting, or computer programming in general; those who want to become a highly paid Python developer; and those who want to open up doors in their IT career by learning one of the world's most popular and in-demand programming languages.</p>
        <h2>Approach</h2><p>A complete course packed with step-by-step instructions, practice exercises with solutions, and quizzes. This course is clearly divided into small parts to help you understand each part individually and learn at your own pace. Once you've completed this course you'll know how to write programs that will run on the Linux, Mac, and Windows operating systems. You can even take what you've learned and apply it to web applications. </p>
        <h2>Key Features</h2><p>How to install Python on Windows, Mac, and Linux. * A practical tutorial designed for Python beginners. * </p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-for-beginners-learn-python-programming-python-3-</p>
        <h2>About the Author</h2><h3>Jason Cannon</h3><p>Jason Cannon is a professional system administrator, consultant, and author. He started his career as a Unix and Linux System engineer in 1999. Since that time, he has utilized his Linux skills at companies such as Xerox, UPS, Hewlett-Packard, and Amazon.com. Additionally, he has acted as a technical consultant and independent contractor for small businesses and Fortune 500 companies.

Jason has professional experience with CentOS, RedHat Enterprise Linux, SUSE Linux Enterprise Server, and Ubuntu. He has used several Linux distributions on personal projects including Debian, Slackware, CrunchBang, and others. In addition to Linux, Jason has experience supporting proprietary Unix operating systems including AIX, HP-UX, and Solaris. He enjoys teaching others how to use and exploit the power of the Linux operating system.</p>
        <h2>Course Outline</h2><h4>1. Course Overview and Downloads</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Overview</p><p style='margin: 0'>Course Overview and Downloads: Course Overview</p></td></tr></tbody></table><br><h4>2. Python Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Python 2 vs Python 3</p><p style='margin: 0'>Python Setup: Python 2 vs Python 3</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing Python on Windows</p><p style='margin: 0'>Python Setup: Installing Python on Windows</p></td></tr><tr><td style='padding: 15px;'><p>3. Installing Python on Mac</p><p style='margin: 0'>Python Setup: Installing Python on Mac</p></td></tr><tr><td style='padding: 15px;'><p>4. Installing Python on Linux</p><p style='margin: 0'>Python Setup: Installing Python on Linux</p></td></tr><tr><td style='padding: 15px;'><p>5. Writing Python Programs</p><p style='margin: 0'>Python Setup: Writing Python Programs</p></td></tr><tr><td style='padding: 15px;'><p>6. Running Python Programs</p><p style='margin: 0'>Python Setup: Running Python Programs</p></td></tr></tbody></table><br><h4>3. Strings and Variables</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Strings and Variables: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Variables and Strings</p><p style='margin: 0'>Strings and Variables: Variables and Strings</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions and Printing</p><p style='margin: 0'>Strings and Variables: Functions and Printing</p></td></tr><tr><td style='padding: 15px;'><p>4. String Methods</p><p style='margin: 0'>Strings and Variables: String Methods</p></td></tr><tr><td style='padding: 15px;'><p>5. String Concatenation</p><p style='margin: 0'>Strings and Variables: String Concatenation</p></td></tr><tr><td style='padding: 15px;'><p>6. Formatting Strings</p><p style='margin: 0'>Strings and Variables: Formatting Strings</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary</p><p style='margin: 0'>Strings and Variables: Section Summary</p></td></tr><tr><td style='padding: 15px;'><p>8. Solutions to the Practice Exercises - #1 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #1 - Video</p></td></tr><tr><td style='padding: 15px;'><p>9. Solutions to the Practice Exercises - #2 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #2 - Video</p></td></tr><tr><td style='padding: 15px;'><p>10. Solutions to the Practice Exercises - #3 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #3 - Video</p></td></tr></tbody></table><br><h4>4. Numbers and Math</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Numbers and Math: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Numbers, Numeric Operations, and Numeric Functions</p><p style='margin: 0'>Numbers and Math: Numbers, Numeric Operations, and Numeric Functions</p></td></tr><tr><td style='padding: 15px;'><p>3. Comments</p><p style='margin: 0'>Numbers and Math: Comments</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Numbers and Math: Section Summary</p></td></tr></tbody></table><br><h4>5. Booleans and Conditionals</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Booleans and Conditionals: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Booleans</p><p style='margin: 0'>Booleans and Conditionals: Booleans</p></td></tr><tr><td style='padding: 15px;'><p>3. Conditionals</p><p style='margin: 0'>Booleans and Conditionals: Conditionals</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Booleans and Conditionals: Section Summary</p></td></tr></tbody></table><br><h4>6. Functions</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Functions: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Functions, Part I</p><p style='margin: 0'>Functions: Functions, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions, Part II</p><p style='margin: 0'>Functions: Functions, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Functions: Section Summary</p></td></tr></tbody></table><br><h4>7. Lists</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Lists: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Lists</p><p style='margin: 0'>Lists: Lists</p></td></tr><tr><td style='padding: 15px;'><p>3. Slices</p><p style='margin: 0'>Lists: Slices</p></td></tr><tr><td style='padding: 15px;'><p>4. Exception Handling</p><p style='margin: 0'>Lists: Exception Handling</p></td></tr><tr><td style='padding: 15px;'><p>5. Loops</p><p style='margin: 0'>Lists: Loops</p></td></tr><tr><td style='padding: 15px;'><p>6. Sorting and Ranges</p><p style='margin: 0'>Lists: Sorting and Ranges</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary</p><p style='margin: 0'>Lists: Section Summary</p></td></tr></tbody></table><br><h4>8. Dictionaries</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Dictionaries: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Dictionaries - Part I</p><p style='margin: 0'>Dictionaries: Dictionaries - Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Dictionaries - Part II</p><p style='margin: 0'>Dictionaries: Dictionaries - Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Dictionaries: Section Summary</p></td></tr></tbody></table><br><h4>9. Tuples</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Tuples: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Tuples</p><p style='margin: 0'>Tuples: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>3. Section Summary</p><p style='margin: 0'>Tuples: Section Summary</p></td></tr></tbody></table><br><h4>10. Files</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Files: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Files, Part I</p><p style='margin: 0'>Files: Files, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Files, Part II</p><p style='margin: 0'>Files: Files, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Files: Section Summary</p></td></tr></tbody></table><br><h4>11. Modules</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Modules: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Modules, Part I</p><p style='margin: 0'>Modules: Modules, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Modules, Part II</p><p style='margin: 0'>Modules: Modules, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Overview</p><p style='margin: 0'>Modules: Section Overview</p></td></tr></tbody></table>

Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.
This course will teach you Python in a practical manner, complete with examples, quizzes, exercises, and more. You will learn when to use Python 2 and Python 3; both versions are covered in the course and you will learn to program in both. You'll learn how to take tedious and repetitious tasks and turn them into programs that will save you time and simplify your life on Linux, UNIX, or MAC systems. You will learn how to prepare your computer for programming in Python; how to work with various data types including strings, lists, tuples, dictionaries, Booleans; how to perform mathematical operations using Python, and more.
What You Will Learn
When to use Python 2 and when to use Python 3.
How to install Python on Windows, Mac, and Linux.
How to prepare your computer for programming in Python.
The various ways to run a Python program on Windows, Mac, and Linux.
Suggested text editors and Integrated Development Environments to use when coding in Python.
How to work with various data types including strings, lists, tuples, dictionaries, Booleans, and more.
What variables are and when to use them.
How to perform mathematical operations using Python.
How to capture input from a user.
Ways to control the flow of your programs.
The importance of white space in Python.
How to organize your Python programs: learn what goes where.
What modules are, when you should use them, and how to create your own.
How to define and use functions.
Important built-in Python functions that you ll use often.
How to read from and write to files.
The difference between binary and text files.
Various ways of getting help, including finding Python documentation.

Audience
This course targets anyone interested in Python programming, Python scripting, or computer programming in general; those who want to become a highly paid Python developer; and those who want to open up doors in their IT career by learning one of the world's most popular and in-demand programming languages.
Approach
A complete course packed with step-by-step instructions, practice exercises with solutions, and quizzes. This course is clearly divided into small parts to help you understand each part individually and learn at your own pace. Once you've completed this course you'll know how to write programs that will run on the Linux, Mac, and Windows operating systems. You can even take what you've learned and apply it to web applications. 
Key Features
How to install Python on Windows, Mac, and Linux. * A practical tutorial designed for Python beginners. * 
Github Repo
https://github.com/packtpublishing/python-for-beginners-learn-python-programming-python-3-
About the Author
Jason Cannon
Jason Cannon is a professional system administrator, consultant, and author. He started his career as a Unix and Linux System engineer in 1999. Since that time, he has utilized his Linux skills at companies such as Xerox, UPS, Hewlett-Packard, and Amazon.com. Additionally, he has acted as a technical consultant and independent contractor for small businesses and Fortune 500 companies. Jason has professional experience with CentOS, RedHat Enterprise Linux, SUSE Linux Enterprise Server, and Ubuntu. He has used several Linux distributions on personal projects including Debian, Slackware, CrunchBang, and others. In addition to Linux, Jason has experience supporting proprietary Unix operating systems including AIX, HP-UX, and Solaris. He enjoys teaching others how to use and exploit the power of the Linux operating system.
Course Outline
1. Course Overview and Downloads

1. Course Overview
Course Overview and Downloads: Course Overview
2. Python Setup

1. Python 2 vs Python 3
Python Setup: Python 2 vs Python 3
2. Installing Python on Windows
Python Setup: Installing Python on Windows
3. Installing Python on Mac
Python Setup: Installing Python on Mac
4. Installing Python on Linux
Python Setup: Installing Python on Linux
5. Writing Python Programs
Python Setup: Writing Python Programs
6. Running Python Programs
Python Setup: Running Python Programs
3. Strings and Variables

1. Section Overview
Strings and Variables: Section Overview
2. Variables and Strings
Strings and Variables: Variables and Strings
3. Functions and Printing
Strings and Variables: Functions and Printing
4. String Methods
Strings and Variables: String Methods
5. String Concatenation
Strings and Variables: String Concatenation
6. Formatting Strings
Strings and Variables: Formatting Strings
7. Section Summary
Strings and Variables: Section Summary
8. Solutions to the Practice Exercises - #1 - Video
Strings and Variables: Solutions to the Practice Exercises - #1 - Video
9. Solutions to the Practice Exercises - #2 - Video
Strings and Variables: Solutions to the Practice Exercises - #2 - Video
10. Solutions to the Practice Exercises - #3 - Video
Strings and Variables: Solutions to the Practice Exercises - #3 - Video
4. Numbers and Math

1. Section Overview
Numbers and Math: Section Overview
2. Numbers, Numeric Operations, and Numeric Functions
Numbers and Math: Numbers, Numeric Operations, and Numeric Functions
3. Comments
Numbers and Math: Comments
4. Section Summary
Numbers and Math: Section Summary
5. Booleans and Conditionals

1. Section Overview
Booleans and Conditionals: Section Overview
2. Booleans
Booleans and Conditionals: Booleans
3. Conditionals
Booleans and Conditionals: Conditionals
4. Section Summary
Booleans and Conditionals: Section Summary
6. Functions

1. Section Overview
Functions: Section Overview
2. Functions, Part I
Functions: Functions, Part I
3. Functions, Part II
Functions: Functions, Part II
4. Section Summary
Functions: Section Summary
7. Lists

1. Section Overview
Lists: Section Overview
2. Lists
Lists: Lists
3. Slices
Lists: Slices
4. Exception Handling
Lists: Exception Handling
5. Loops
Lists: Loops
6. Sorting and Ranges
Lists: Sorting and Ranges
7. Section Summary
Lists: Section Summary
8. Dictionaries

1. Section Overview
Dictionaries: Section Overview
2. Dictionaries - Part I
Dictionaries: Dictionaries - Part I
3. Dictionaries - Part II
Dictionaries: Dictionaries - Part II
4. Section Summary
Dictionaries: Section Summary
9. Tuples

1. Section Overview
Tuples: Section Overview
2. Tuples
Tuples: Tuples
3. Section Summary
Tuples: Section Summary
10. Files

1. Section Overview
Files: Section Overview
2. Files, Part I
Files: Files, Part I
3. Files, Part II
Files: Files, Part II
4. Section Summary
Files: Section Summary
11. Modules

1. Section Overview
Modules: Section Overview
2. Modules, Part I
Modules: Modules, Part I
3. Modules, Part II
Modules: Modules, Part II
4. Section Overview
Modules: Section Overview

Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.

Python for Beginners: Learn Python Programming (Python 3)

<strong>You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.</strong>
        <p>'Python is the future of artificial intelligence and machine learning.'-Adrian Rosebrock, author.

Python is the programming language most loved by developers, data scientists, software engineers, and even hackers.

This Python basic to advanced course covers the fundamental concepts of Python programming and ways to apply this to real-world applications. The course modules, lesson-end quizzes, and lesson-end projects collectively cover the training course topics such as data operations, strings, file I/O, exception handling, error handling, conditional statements, CGI programming, shell scripting, web scraping, and Django.

It also covers Logging Framework, Unittest Framework, Socket Programming, Tornado Framework, and Networking. You will also build a Python chat server.

By the end of this course, you will have the skills to create and send robust Python applications using off-the-rack libraries confidently.

The code bundle for this course is available at: https://github.com/PacktPublishing/Python-Programming</p>
        <h2>What You Will Learn</h2><p>Learn the basics of Python<br>Learn networking and database access using Python and CGI programming<br>Understand the Python debugger<br>Understand web scraping using Beautiful Soup<br>Learn about Python Unittest<br>Build a Python chat server</p>
        <h2>Audience</h2><p>This course is for new Python users looking to make the best of this powerful programming language-college freshers, software developers, programming enthusiasts, and technical leads. Python is widely used in artificial intelligence, so if you are planning to start your career in AI/machine learning then you need to have an understanding of Python as a prerequisite.</p>
        <h2>Approach</h2><p>This course comprises self-paced videos, demos, lesson-end quizzes, and a competitive course-end project. This will help you increase your in-depth understanding of Python's design, memory models, object-arranged highlights, and information, and be industry-prepared.</p>
        <h2>Key Features</h2><p>Go from a beginner level to a confident level of Python programming * Increase your in-depth understanding of Python's design, memory models, and more * Work on a competitive project at the end of the course</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-programming</p>
        <h2>About the Author</h2><h3>Learnkart Technology Private Limited</h3><p>Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction</h4><p></p><br><h4>2. Python Basics</h4><p></p><br><h4>3. Data Operations</h4><p></p><br><h4>4. Conditional Statements and Functions</h4><p></p><br><h4>5. Error Handling and File Operations</h4><p></p><br><h4>6. Shell Scripting and Django</h4><p></p><br><h4>7. Course End Project</h4><p></p>

You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.
'Python is the future of artificial intelligence and machine learning.'-Adrian Rosebrock, author. Python is the programming language most loved by developers, data scientists, software engineers, and even hackers. This Python basic to advanced course covers the fundamental concepts of Python programming and ways to apply this to real-world applications. The course modules, lesson-end quizzes, and lesson-end projects collectively cover the training course topics such as data operations, strings, file I/O, exception handling, error handling, conditional statements, CGI programming, shell scripting, web scraping, and Django. It also covers Logging Framework, Unittest Framework, Socket Programming, Tornado Framework, and Networking. You will also build a Python chat server. By the end of this course, you will have the skills to create and send robust Python applications using off-the-rack libraries confidently. The code bundle for this course is available at: https://github.com/PacktPublishing/Python-Programming
What You Will Learn
Learn the basics of Python

Learn networking and database access using Python and CGI programming

Understand the Python debugger

Understand web scraping using Beautiful Soup

Learn about Python Unittest

Build a Python chat server
Audience
This course is for new Python users looking to make the best of this powerful programming language-college freshers, software developers, programming enthusiasts, and technical leads. Python is widely used in artificial intelligence, so if you are planning to start your career in AI/machine learning then you need to have an understanding of Python as a prerequisite.
Approach
This course comprises self-paced videos, demos, lesson-end quizzes, and a competitive course-end project. This will help you increase your in-depth understanding of Python's design, memory models, object-arranged highlights, and information, and be industry-prepared.
Key Features
Go from a beginner level to a confident level of Python programming * Increase your in-depth understanding of Python's design, memory models, and more * Work on a competitive project at the end of the course
Github Repo
https://github.com/packtpublishing/python-programming
About the Author
Learnkart Technology Private Limited
Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.
Course Outline
1. Course Introduction

2. Python Basics

3. Data Operations

4. Conditional Statements and Functions

5. Error Handling and File Operations

6. Shell Scripting and Django

7. Course End Project


You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.

Python Programming

<strong>This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.</strong>
        <p>Python is one of the most popular computer programming languages and this hands-on course for beginners will make it easy for someone who wants to get started with learning Python.

This course takes you through the introduction to the course and the learning objectives. You will learn to get started with Replit and write your first Python program. You will learn to store, process, and compare information in Python as well as learn to tidy messy data. You will learn about variables, strings, dictionaries, indexing, and slicing in Python. Further, you will understand loops in Python along with break, continue, and else functions.

Moving ahead, you will understand error handling in Python, get to know the try-and-catch block, and learn to add resources to Replit. You will also understand function parameters and explore the difference between local and global variables, and positional and keyword parameters. You will learn to work with JSON and clean the data along with various numeric functions such as min, max, and sum.

By the end of the course, you will gain a solid foundation in Python programming and be able to write high-quality code in Python.

All resources and code files are placed here: https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners</p>
        <h2>What You Will Learn</h2><p>Master Python programming fundamentals<br>Learn how to install Python to get up and running in no time<br>Learn how to process data to create Olympics Medals Tables<br>Solve multiple specific problems for a customer in the real world<br>Learn all about objects and variables in Python<br>Understand functions and function parameters in Python</p>
        <h2>Audience</h2><p>Whether you are a software engineer, software developer, computer programmer, web developer, transitioning into a new role, or simply someone who wants to understand what makes Python tick, this is the place to start. If you are preparing for a Python certification or job role, this course is for you.</p>
        <h2>Approach</h2><p>This course is video based course with no supporting document necessary. It takes you through the fundamentals of Python and teaches you how to use it with a simple tool so you can master the fundamentals in a day.</p>
        <h2>Key Features</h2><p>Be fluent in writing Python code and working with all the fundamentals of the language such as a list, string, function, dictionary, array, set, and much more * Learn to use Python's data analysis capabilities to analyze data from a real-world data source * A complete overview of the basics with exercises to test your knowledge of storing, processing, and storing information</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners</p>
        <h2>About the Author</h2><h3>Paul Ashun</h3><p>Paul Ashun is the CEO, MD, and chief consultant at Pashun Consulting Ltd., specializing in Scrum coaching and leadership within major global organizations. They are the authors of over 10 books on Scrum such as The Power of Scrum in the Real World, Confessions of a Scrum Master as well as the upcoming Agile User Storybook.

He started as a software developer and over ten years later, he became an Agile portfolio manager. He is a certified Scrum Master and a PMO manager. He has led projects for the BBC, General Electric, Oracle, BSkyB, HiT Entertainment, and Razorfish. He has been coaching product owners and business analysts in international blue-chip companies, dating back to 1999, in Agile and Scrum practices such as writing user stories.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video is an introduction the course and what you can expect from the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Learning Objectives - Introduction</p><p style='margin: 0'>This video explains the learning objectives of the course.</p></td></tr><tr><td style='padding: 15px;'><p>3. What Is Python?</p><p style='margin: 0'>This video explains what Python is and the need for Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Example</p><p style='margin: 0'>This video explains an example of a software engineer working in a media company to support the development team.</p></td></tr></tbody></table><br><h4>2. Getting Set Up</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Getting Set Up</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Get Started with Replit</p><p style='margin: 0'>This video explains how to get started with Replit.</p></td></tr><tr><td style='padding: 15px;'><p>3. Writing Your First Python Program-Hello World</p><p style='margin: 0'>This video explains writing your first Python program-Hello World.</p></td></tr></tbody></table><br><h4>3. Storing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Storing Information</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Objects and Variables</p><p style='margin: 0'>This video explains objects and variables in Python using an example of Olympic results.</p></td></tr><tr><td style='padding: 15px;'><p>3. Variable Names</p><p style='margin: 0'>This video explains variable names in Python and the rules to use them.</p></td></tr><tr><td style='padding: 15px;'><p>4. Numbers</p><p style='margin: 0'>This video explains the different types of numbers in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. Strings</p><p style='margin: 0'>This video explains strings in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Showing Output When Running Python</p><p style='margin: 0'>This video explains showing output when running Python.</p></td></tr></tbody></table><br><h4>4. Processing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Processing Information</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Processing Information</p><p style='margin: 0'>This video explains processing information in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Indexing</p><p style='margin: 0'>This video explains indexing in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Slices</p><p style='margin: 0'>This video explains slices in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. String Functions</p><p style='margin: 0'>This video explains string functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. The 'input' Function</p><p style='margin: 0'>This video explains the input function in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. More String Operations</p><p style='margin: 0'>This video explains more string operations in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Converting Between Different Types</p><p style='margin: 0'>This video explains converting between different types.</p></td></tr></tbody></table><br><h4>5. Comparing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Comparing Information</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Comparing Information</p><p style='margin: 0'>This video explains comparing information in Python.</p></td></tr></tbody></table><br><h4>6. Tidying Messy Data</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Tidying Messy Data</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Tidying Messy Data</p><p style='margin: 0'>This video explains how to tidy messy data.</p></td></tr></tbody></table><br><h4>7. Storing Multiple Things</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Storing Multiple Things</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Storing Multiple Things</p><p style='margin: 0'>This video explains how to store multiple things.</p></td></tr><tr><td style='padding: 15px;'><p>3. Introducing Python Lists</p><p style='margin: 0'>This video explains lists in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Adding Items to a List</p><p style='margin: 0'>This video explains how to add items to a list.</p></td></tr><tr><td style='padding: 15px;'><p>5. Indexing and Slicing Lists</p><p style='margin: 0'>This video explains indexing and slicing lists.</p></td></tr><tr><td style='padding: 15px;'><p>6. Deleting Items in a List</p><p style='margin: 0'>This video explains how to delete items in a list.</p></td></tr><tr><td style='padding: 15px;'><p>7. Tuples</p><p style='margin: 0'>This video explains tuples in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Long Lines in Python</p><p style='margin: 0'>This video explains long lines in Python.</p></td></tr><tr><td style='padding: 15px;'><p>9. Dictionaries</p><p style='margin: 0'>This video explains dictionaries in Python.</p></td></tr><tr><td style='padding: 15px;'><p>10. List Functions - More Ways to Work with Lists</p><p style='margin: 0'>This video explains list functions.</p></td></tr><tr><td style='padding: 15px;'><p>11. Sets</p><p style='margin: 0'>This video explains sets in Python.</p></td></tr></tbody></table><br><h4>8. Processing Collections</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Processing Collections</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. A Simple 'for' Loop</p><p style='margin: 0'>This video explains a simple for loop.</p></td></tr><tr><td style='padding: 15px;'><p>3. More Complex 'for' loops - 'break', 'continue', and 'else'</p><p style='margin: 0'>This video explains more complex 'for' loops.</p></td></tr><tr><td style='padding: 15px;'><p>4. The 'range' Function - How to Create a List of Numbers</p><p style='margin: 0'>This video explains how to create a list of numbers.</p></td></tr><tr><td style='padding: 15px;'><p>5. The 'while' Loop - Do Something for a While</p><p style='margin: 0'>This video explains the while loop.</p></td></tr></tbody></table><br><h4>9. Robust Programs - Handling Errors</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Robust Programs - Handling Errors</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Robust Programs - Handling Errors</p><p style='margin: 0'>This video explains error handling in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Look Before You Leap</p><p style='margin: 0'>This video explains one way of making the code more robust, which is called 'look before you leap'.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Try and Except Block</p><p style='margin: 0'>This video explains the try and except block in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. The Catch-All Block</p><p style='margin: 0'>This video explains the catch-all block.</p></td></tr><tr><td style='padding: 15px;'><p>6. Adding Resources to Replit</p><p style='margin: 0'>This video explains how to add resources to Replit.</p></td></tr><tr><td style='padding: 15px;'><p>7. The Finally Block</p><p style='margin: 0'>This video explains the finally block.</p></td></tr></tbody></table><br><h4>10. Saving the Results - Working with Files</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Saving the Results - Working with Files</p><p style='margin: 0'>This video explains the learning objectives of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Adding Bad Data</p><p style='margin: 0'>This video explains adding bad data.</p></td></tr><tr><td style='padding: 15px;'><p>3. Saving the Results - Working with Files</p><p style='margin: 0'>This video explains saving the results and working with files.</p></td></tr><tr><td style='padding: 15px;'><p>4. Binary File Modes</p><p style='margin: 0'>This video explains binary file modes.</p></td></tr><tr><td style='padding: 15px;'><p>5. Text File Modes</p><p style='margin: 0'>This video explains text file modes.</p></td></tr><tr><td style='padding: 15px;'><p>6. The With Statement</p><p style='margin: 0'>This video explains the with statement.</p></td></tr></tbody></table><br><h4>11. Breaking Up Larger Programs, Part 1</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Breaking Up Larger Programs, Part 1</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. About Replit.config</p><p style='margin: 0'>This video explains replit.config.</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions</p><p style='margin: 0'>This video explains functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Function Parameters</p><p style='margin: 0'>This video explains function parameters.</p></td></tr><tr><td style='padding: 15px;'><p>5. Local Versus Global Variables</p><p style='margin: 0'>This video explains local versus global variables.</p></td></tr><tr><td style='padding: 15px;'><p>6. Positional and Keyword Parameters</p><p style='margin: 0'>This video explains positional and keyword parameters.</p></td></tr><tr><td style='padding: 15px;'><p>7. Return Statement</p><p style='margin: 0'>This video explains the return statement.</p></td></tr><tr><td style='padding: 15px;'><p>8. Working With JSON</p><p style='margin: 0'>This video explains working with JSON.</p></td></tr><tr><td style='padding: 15px;'><p>9. Code Comments and Clear Code</p><p style='margin: 0'>This video explains code comments in Python.</p></td></tr></tbody></table><br><h4>12. Summarising and Presenting the Results</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Summarising and Presenting the Results</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Summarising and Presenting the Results Part 1</p><p style='margin: 0'>This video explains how to summarise the results using statistics.</p></td></tr><tr><td style='padding: 15px;'><p>3. Cleaning the Data</p><p style='margin: 0'>This video explains cleaning the data in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Summarising and Presenting the Results Part 2</p><p style='margin: 0'>This video explains the code in which we will get a sum of the scores of a country.</p></td></tr><tr><td style='padding: 15px;'><p>5. More Numeric Functions - Min, Max, Sum</p><p style='margin: 0'>This video explains min, max, and sum functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Formatted Strings, f-strings</p><p style='margin: 0'>This video explains formatted strings and f-strings in Python.</p></td></tr></tbody></table><br><h4>13. Breaking Up Larger Programs, Part 2</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Breaking Up Larger Programs, Part 2</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Splitting Code into Modules</p><p style='margin: 0'>This video explains splitting code into modules.</p></td></tr><tr><td style='padding: 15px;'><p>3. Namespaces</p><p style='margin: 0'>This video explains namespaces in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Using Our Modules</p><p style='margin: 0'>This video explains how to use modules in Python.</p></td></tr></tbody></table><br><h4>14. Getting Set Up on a PC or MAC</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Getting Set Up on a PC or MAC</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Getting Set Up</p><p style='margin: 0'>This video explains how to set up Python on our systems.</p></td></tr><tr><td style='padding: 15px;'><p>3. Starting Python on Windows 10</p><p style='margin: 0'>This video explains how to start Python on Windows 10.</p></td></tr><tr><td style='padding: 15px;'><p>4. Starting a Terminal or Command Prompt on Windows</p><p style='margin: 0'>This video explains how to start a terminal or command prompt on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>5. Installing Python on Windows</p><p style='margin: 0'>This video explains the installation of Python on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>6. Installing Python on MacOS</p><p style='margin: 0'>This video explains the installation on Python on MacOS.</p></td></tr><tr><td style='padding: 15px;'><p>7. Quick Python Test - Running Python</p><p style='margin: 0'>This video explains how to run a Python script.</p></td></tr><tr><td style='padding: 15px;'><p>8. Python Scripts and IDLE</p><p style='margin: 0'>This video explains Python scripts and IDE.</p></td></tr><tr><td style='padding: 15px;'><p>9. Code Editors and IDEs</p><p style='margin: 0'>This video explains code editors and IDEs.</p></td></tr><tr><td style='padding: 15px;'><p>10. Running Python Scripts</p><p style='margin: 0'>This video explains how to run Python scripts.</p></td></tr></tbody></table>

This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.
Python is one of the most popular computer programming languages and this hands-on course for beginners will make it easy for someone who wants to get started with learning Python. This course takes you through the introduction to the course and the learning objectives. You will learn to get started with Replit and write your first Python program. You will learn to store, process, and compare information in Python as well as learn to tidy messy data. You will learn about variables, strings, dictionaries, indexing, and slicing in Python. Further, you will understand loops in Python along with break, continue, and else functions. Moving ahead, you will understand error handling in Python, get to know the try-and-catch block, and learn to add resources to Replit. You will also understand function parameters and explore the difference between local and global variables, and positional and keyword parameters. You will learn to work with JSON and clean the data along with various numeric functions such as min, max, and sum. By the end of the course, you will gain a solid foundation in Python programming and be able to write high-quality code in Python. All resources and code files are placed here: https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners
What You Will Learn
Master Python programming fundamentals
Learn how to install Python to get up and running in no time
Learn how to process data to create Olympics Medals Tables
Solve multiple specific problems for a customer in the real world
Learn all about objects and variables in Python
Understand functions and function parameters in Python
Audience
Whether you are a software engineer, software developer, computer programmer, web developer, transitioning into a new role, or simply someone who wants to understand what makes Python tick, this is the place to start. If you are preparing for a Python certification or job role, this course is for you.
Approach
This course is video based course with no supporting document necessary. It takes you through the fundamentals of Python and teaches you how to use it with a simple tool so you can master the fundamentals in a day.
Key Features
Be fluent in writing Python code and working with all the fundamentals of the language such as a list, string, function, dictionary, array, set, and much more * Learn to use Python's data analysis capabilities to analyze data from a real-world data source * A complete overview of the basics with exercises to test your knowledge of storing, processing, and storing information
Github Repo
https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners
About the Author
Paul Ashun
Paul Ashun is the CEO, MD, and chief consultant at Pashun Consulting Ltd., specializing in Scrum coaching and leadership within major global organizations. They are the authors of over 10 books on Scrum such as The Power of Scrum in the Real World, Confessions of a Scrum Master as well as the upcoming Agile User Storybook. He started as a software developer and over ten years later, he became an Agile portfolio manager. He is a certified Scrum Master and a PMO manager. He has led projects for the BBC, General Electric, Oracle, BSkyB, HiT Entertainment, and Razorfish. He has been coaching product owners and business analysts in international blue-chip companies, dating back to 1999, in Agile and Scrum practices such as writing user stories.
Course Outline
1. Introduction

1. Introduction
This video is an introduction the course and what you can expect from the course.
2. Learning Objectives - Introduction
This video explains the learning objectives of the course.
3. What Is Python?
This video explains what Python is and the need for Python.
4. The Example
This video explains an example of a software engineer working in a media company to support the development team.
2. Getting Set Up

1. Learning Objectives - Getting Set Up
This video explains the learning objectives of this section.
2. How to Get Started with Replit
This video explains how to get started with Replit.
3. Writing Your First Python Program-Hello World
This video explains writing your first Python program-Hello World.
3. Storing Information

1. Learning Objectives - Storing Information
This video explains the learning objectives of this section.
2. Objects and Variables
This video explains objects and variables in Python using an example of Olympic results.
3. Variable Names
This video explains variable names in Python and the rules to use them.
4. Numbers
This video explains the different types of numbers in Python.
5. Strings
This video explains strings in Python.
6. Showing Output When Running Python
This video explains showing output when running Python.
4. Processing Information

1. Learning Objectives - Processing Information
This video explains the learning objectives of the section.
2. Processing Information
This video explains processing information in Python.
3. Indexing
This video explains indexing in Python.
4. Slices
This video explains slices in Python.
5. String Functions
This video explains string functions in Python.
6. The 'input' Function
This video explains the input function in Python.
7. More String Operations
This video explains more string operations in Python.
8. Converting Between Different Types
This video explains converting between different types.
5. Comparing Information

1. Learning Objectives - Comparing Information
This video explains the learning objectives of this section.
2. Comparing Information
This video explains comparing information in Python.
6. Tidying Messy Data

1. Learning Objectives - Tidying Messy Data
This video explains the learning objectives of this section.
2. Tidying Messy Data
This video explains how to tidy messy data.
7. Storing Multiple Things

1. Learning Objectives - Storing Multiple Things
This video explains the learning objectives of this section.
2. Storing Multiple Things
This video explains how to store multiple things.
3. Introducing Python Lists
This video explains lists in Python.
4. Adding Items to a List
This video explains how to add items to a list.
5. Indexing and Slicing Lists
This video explains indexing and slicing lists.
6. Deleting Items in a List
This video explains how to delete items in a list.
7. Tuples
This video explains tuples in Python.
8. Long Lines in Python
This video explains long lines in Python.
9. Dictionaries
This video explains dictionaries in Python.
10. List Functions - More Ways to Work with Lists
This video explains list functions.
11. Sets
This video explains sets in Python.
8. Processing Collections

1. Learning Objectives - Processing Collections
This video explains the learning objectives of the section.
2. A Simple 'for' Loop
This video explains a simple for loop.
3. More Complex 'for' loops - 'break', 'continue', and 'else'
This video explains more complex 'for' loops.
4. The 'range' Function - How to Create a List of Numbers
This video explains how to create a list of numbers.
5. The 'while' Loop - Do Something for a While
This video explains the while loop.
9. Robust Programs - Handling Errors

1. Learning Objectives - Robust Programs - Handling Errors
This video explains the learning objectives of the section.
2. Robust Programs - Handling Errors
This video explains error handling in Python.
3. Look Before You Leap
This video explains one way of making the code more robust, which is called 'look before you leap'.
4. The Try and Except Block
This video explains the try and except block in Python.
5. The Catch-All Block
This video explains the catch-all block.
6. Adding Resources to Replit
This video explains how to add resources to Replit.
7. The Finally Block
This video explains the finally block.
10. Saving the Results - Working with Files

1. Learning Objectives - Saving the Results - Working with Files
This video explains the learning objectives of the course.
2. Adding Bad Data
This video explains adding bad data.
3. Saving the Results - Working with Files
This video explains saving the results and working with files.
4. Binary File Modes
This video explains binary file modes.
5. Text File Modes
This video explains text file modes.
6. The With Statement
This video explains the with statement.
11. Breaking Up Larger Programs, Part 1

1. Learning Objectives - Breaking Up Larger Programs, Part 1
This video explains the learning objectives of the section.
2. About Replit.config
This video explains replit.config.
3. Functions
This video explains functions in Python.
4. Function Parameters
This video explains function parameters.
5. Local Versus Global Variables
This video explains local versus global variables.
6. Positional and Keyword Parameters
This video explains positional and keyword parameters.
7. Return Statement
This video explains the return statement.
8. Working With JSON
This video explains working with JSON.
9. Code Comments and Clear Code
This video explains code comments in Python.
12. Summarising and Presenting the Results

1. Learning Objectives - Summarising and Presenting the Results
This video explains the learning objectives of the section.
2. Summarising and Presenting the Results Part 1
This video explains how to summarise the results using statistics.
3. Cleaning the Data
This video explains cleaning the data in Python.
4. Summarising and Presenting the Results Part 2
This video explains the code in which we will get a sum of the scores of a country.
5. More Numeric Functions - Min, Max, Sum
This video explains min, max, and sum functions in Python.
6. Formatted Strings, f-strings
This video explains formatted strings and f-strings in Python.
13. Breaking Up Larger Programs, Part 2

1. Learning Objectives - Breaking Up Larger Programs, Part 2
This video explains the learning objectives of the section.
2. Splitting Code into Modules
This video explains splitting code into modules.
3. Namespaces
This video explains namespaces in Python.
4. Using Our Modules
This video explains how to use modules in Python.
14. Getting Set Up on a PC or MAC

1. Learning Objectives - Getting Set Up on a PC or MAC
This video explains the learning objectives of the section.
2. Getting Set Up
This video explains how to set up Python on our systems.
3. Starting Python on Windows 10
This video explains how to start Python on Windows 10.
4. Starting a Terminal or Command Prompt on Windows
This video explains how to start a terminal or command prompt on Windows.
5. Installing Python on Windows
This video explains the installation of Python on Windows.
6. Installing Python on MacOS
This video explains the installation on Python on MacOS.
7. Quick Python Test - Running Python
This video explains how to run a Python script.
8. Python Scripts and IDLE
This video explains Python scripts and IDE.
9. Code Editors and IDEs
This video explains code editors and IDEs.
10. Running Python Scripts
This video explains how to run Python scripts.

This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.

Python Bootcamp in a Day - Python Programming for Beginners.

<strong>This course for beginners will help you build a solid foundation in programming with Python 3. We will cover core concepts such as Python statements, variables, data types, lists, typecasting, comments, conditional statements, loops, file handling, OOP concepts, and more. A carefully structured course with live demonstrations to get you started.</strong>
        <p>Python is one of the most popular programming languages and gives a lot of scope and opportunities in the field of programming hence, this course will help you build a strong foundation to achieve your professional goals.

The course is recorded with the latest Python version: Python 3. It is a practical focused course, thus making it compressive and easy to follow for beginners stepping into the world of programming.

The course is divided into four levels. The first level is about Python shell, variables, data types, lists, and user input. The second level will take you through Python IDE (PyCharm), comments, functions, and scope. The third level is about conditions (if) and loops, followed by the fourth level, which is to read/write to a file, use and create Python modules, and run a Python program from the terminal. There is also a bonus lesson on OOP (Object-Oriented Programming). Learning OOP will help you enhance your skills further.

By the end of the course, you will have a strong foundation in Python, and you will be able to build on that foundation with confidence.</p>
        <h2>What You Will Learn</h2><p>Install and use a Python IDE (PyCharm)<br>Create your own Python module to use in other files<br>Explore variables, data types, lists, functions, conditions, and loops<br>Use a built-in Python module in your code<br>Run Python instructions in the Python shell<br>Learn to read files with Python</p>
        <h2>Audience</h2><p>This course is for complete beginners who want to learn Python basics in a straightforward way. Even if you are a programming beginner who started with another language and want to jump to Python, you can opt for this course. This course is also for Python developers who want a quick refresher course, or anyone interested in web development, robotics, artificial intelligence, video games development, and data science.</p>
        <h2>Approach</h2><p>This is a hands-on, practical course. Every single lesson of the course contains live implementations, making it easy for anyone to learn and understand. It is straightforward and is taught in a step-by-step manner to enhance your coding skills.</p>
        <h2>Key Features</h2><p>Learn to write your first Python code and run it * Discover Python OOP (Object-Oriented Programming) * Get introduced to concepts such as inheritance and composition (OOP)</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Practical-Python-Learn-Python-Basics-Step-by-Step-Python-3</p>
        <h2>About the Author</h2><h3>Edouard Renard </h3><p>Edouard Renard is a software engineer, entrepreneur, and robotics teacher. He really enjoys teaching new technologies to people and making complex stuff easy to understand. His method is simple and consists of only three words: step by step. Edouard knows how hard it can be to learn a new topic and just be lost in an ocean of information without knowing what to do. In his courses, he makes sure that you learn one step at a time, through practice, and that you also learn the best practices.

He is passionate about robotics and found that it's amazing how many cool projects you can do with a robot when you have the required programming knowledge.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome!</p><p style='margin: 0'>In the video, the author gives an overview of Python and the topics that will be covered in the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Follow This Course</p><p style='margin: 0'>In this video, the author briefs you on how to follow the course and his teaching method.</p></td></tr><tr><td style='padding: 15px;'><p>3. Install Python on Windows</p><p style='margin: 0'>This video demonstrates how to install Python in Windows OS.</p></td></tr><tr><td style='padding: 15px;'><p>4. Install Python on Linux</p><p style='margin: 0'>In this video, the author demonstrates the installation of Python in Linux OS.</p></td></tr><tr><td style='padding: 15px;'><p>5. Install Python on MacOS</p><p style='margin: 0'>This video shows how to install Python in MacOS.</p></td></tr></tbody></table><br><h4>2. Python Basics- Level 1</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video briefs about the basics of Python and how to go about the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Write Your First Python Statement</p><p style='margin: 0'>This video demonstrates how to use Python Shell and write your first statement.</p></td></tr><tr><td style='padding: 15px;'><p>3. Numbers and Operations</p><p style='margin: 0'>This video shows how to use numbers and operations in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Variables</p><p style='margin: 0'>This video demonstrates how to use variables in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. Variables - Data Types</p><p style='margin: 0'>This video explores the data types in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Lists</p><p style='margin: 0'>This video demonstrates how to create lists in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. Get User Input</p><p style='margin: 0'>This video demonstrates how to get user input in a specific program.</p></td></tr><tr><td style='padding: 15px;'><p>8. Cast a Type to Another Type</p><p style='margin: 0'>This video shows how to modify a data type of a variable.</p></td></tr><tr><td style='padding: 15px;'><p>9. Python Level 1: Exercises</p><p style='margin: 0'>In this video, the author gives a few exercises to work on.</p></td></tr><tr><td style='padding: 15px;'><p>10. Python Level 1: Exercises - Solution</p><p style='margin: 0'>In this video, the author shows the answers of the exercises given in the previous video.</p></td></tr></tbody></table><br><h4>3. Python Basics Level 2</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video gives a brief overview of Python functions.</p></td></tr><tr><td style='padding: 15px;'><p>2. Install a Python IDE (PyCharm)</p><p style='margin: 0'>This video demonstrates how to install IDE PyCharm in different operating systems.</p></td></tr><tr><td style='padding: 15px;'><p>3. Write and Execute Your First Python Program</p><p style='margin: 0'>This video demonstrates how to write and execute Python programs and debug issues.</p></td></tr><tr><td style='padding: 15px;'><p>4. Comments</p><p style='margin: 0'>This video shows how to make clean and comprehensive codes.</p></td></tr><tr><td style='padding: 15px;'><p>5. Functions</p><p style='margin: 0'>This video gives an overview of functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Functions Parameters</p><p style='margin: 0'>This video demonstrates how to add parameters to a function.</p></td></tr><tr><td style='padding: 15px;'><p>7. Function Return Statement</p><p style='margin: 0'>This video shows how to make a function return value.</p></td></tr><tr><td style='padding: 15px;'><p>8. Variable Scope</p><p style='margin: 0'>This video gives an overview of variable scope and demonstrates how to use it.</p></td></tr><tr><td style='padding: 15px;'><p>9. Python Level 2: Exercises</p><p style='margin: 0'>In this video, the author gives a few exercises related to functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>10. Python Level 2: Exercises - Solution</p><p style='margin: 0'>This video shows the answers to the exercises given in the previous video.</p></td></tr></tbody></table><br><h4>4. Python Basics Level 3</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>In this video, the author gives a brief introduction of conditions and loops.</p></td></tr><tr><td style='padding: 15px;'><p>2. Conditional Statements with Booleans</p><p style='margin: 0'>In this video, the author demonstrates how to conduct certain tests to get Boolean output.</p></td></tr><tr><td style='padding: 15px;'><p>3. Combine Different Conditional Statements</p><p style='margin: 0'>In this video, the author demonstrates how to combine different conditional statements.</p></td></tr><tr><td style='padding: 15px;'><p>4. Conditions with If</p><p style='margin: 0'>In this video, the author demonstrates conditional statements using the IF structure.</p></td></tr><tr><td style='padding: 15px;'><p>5. Else, Else If</p><p style='margin: 0'>This video shows more about the IF structure using Else, Elif (Else if).</p></td></tr><tr><td style='padding: 15px;'><p>6. For Loop</p><p style='margin: 0'>This video gives an overview of the For loop in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. While Loop</p><p style='margin: 0'>This video shows you how the While loop works.</p></td></tr><tr><td style='padding: 15px;'><p>8. Use Loops to Iterate on Python Lists</p><p style='margin: 0'>This video demonstrates how to use loops to iterate on Python lists.</p></td></tr><tr><td style='padding: 15px;'><p>9. Python Level 3: Exercises</p><p style='margin: 0'>In this video, the author gives a few exercises related to conditions and loops.</p></td></tr><tr><td style='padding: 15px;'><p>10. Python Level 3: Exercises - Solution</p><p style='margin: 0'>In this video, the author shows the answer of the exercises given in the previous video.</p></td></tr></tbody></table><br><h4>5. Python Basics Level 4</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>In this video, the author gives a brief introduction to the lessons that will be covered in the coming videos.</p></td></tr><tr><td style='padding: 15px;'><p>2. Read from a File</p><p style='margin: 0'>In this video, the author demonstrates how to read from a file and then how to organize it.</p></td></tr><tr><td style='padding: 15px;'><p>3. Write to a File</p><p style='margin: 0'>This video demonstrates how to write to a file in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Use a Python Module</p><p style='margin: 0'>This video demonstrates how to import and use a Python module.</p></td></tr><tr><td style='padding: 15px;'><p>5. Create Your Own Python Module</p><p style='margin: 0'>This video demonstrates how to create your own Python module.</p></td></tr><tr><td style='padding: 15px;'><p>6. Run a Python Script from the Terminal</p><p style='margin: 0'>This video demonstrates how to run a Python script from the terminal on different operating systems.</p></td></tr><tr><td style='padding: 15px;'><p>7. Python Level 4: Exercises</p><p style='margin: 0'>In this video, the author gives a few exercises to work on.</p></td></tr><tr><td style='padding: 15px;'><p>8. Python Level 4: Exercises - Solution</p><p style='margin: 0'>This video shows the answers of the exercises given in the previous video.</p></td></tr></tbody></table><br><h4>6. Extra: Python OOP</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>In this video, the author gives an introduction of OOP and how to use it to write a program.</p></td></tr><tr><td style='padding: 15px;'><p>2. What Is OOP, What Are Classes</p><p style='margin: 0'>In this video, the author defines and gives a brief description of OOP and classes.</p></td></tr><tr><td style='padding: 15px;'><p>3. Create a Python Class</p><p style='margin: 0'>This video demonstrates how to create a class in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Add Class Methods</p><p style='margin: 0'>This video demonstrates how to add functionalities to a class.</p></td></tr><tr><td style='padding: 15px;'><p>5. Create an Object (Instance) from Your Class</p><p style='margin: 0'>This video demonstrates how to create object (instance) from a class.</p></td></tr><tr><td style='padding: 15px;'><p>6. Organize Your OOP Files</p><p style='margin: 0'>This video shows how to organize OOP files in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. Inheritance - Derive a Class from Another Class</p><p style='margin: 0'>This video gives an overview of inheritance and demonstrates how to derive a class from another class.</p></td></tr><tr><td style='padding: 15px;'><p>8. Composition - Use a Class Inside Another Class</p><p style='margin: 0'>This video gives a brief introduction of the concepts of composition and shows you how to use a class inside another class.</p></td></tr></tbody></table><br><h4>7. Conclusion</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Best Practices When Writing Python Code</p><p style='margin: 0'>In this video, the author suggests a few tips to follow while writing Python codes.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Go Further from Here</p><p style='margin: 0'>This video shows you what and how to pursue further in Python after this course is over.</p></td></tr></tbody></table>

This course for beginners will help you build a solid foundation in programming with Python 3. We will cover core concepts such as Python statements, variables, data types, lists, typecasting, comments, conditional statements, loops, file handling, OOP concepts, and more. A carefully structured course with live demonstrations to get you started.
Python is one of the most popular programming languages and gives a lot of scope and opportunities in the field of programming hence, this course will help you build a strong foundation to achieve your professional goals. The course is recorded with the latest Python version: Python 3. It is a practical focused course, thus making it compressive and easy to follow for beginners stepping into the world of programming. The course is divided into four levels. The first level is about Python shell, variables, data types, lists, and user input. The second level will take you through Python IDE (PyCharm), comments, functions, and scope. The third level is about conditions (if) and loops, followed by the fourth level, which is to read/write to a file, use and create Python modules, and run a Python program from the terminal. There is also a bonus lesson on OOP (Object-Oriented Programming). Learning OOP will help you enhance your skills further. By the end of the course, you will have a strong foundation in Python, and you will be able to build on that foundation with confidence.
What You Will Learn
Install and use a Python IDE (PyCharm)
Create your own Python module to use in other files
Explore variables, data types, lists, functions, conditions, and loops
Use a built-in Python module in your code
Run Python instructions in the Python shell
Learn to read files with Python
Audience
This course is for complete beginners who want to learn Python basics in a straightforward way. Even if you are a programming beginner who started with another language and want to jump to Python, you can opt for this course. This course is also for Python developers who want a quick refresher course, or anyone interested in web development, robotics, artificial intelligence, video games development, and data science.
Approach
This is a hands-on, practical course. Every single lesson of the course contains live implementations, making it easy for anyone to learn and understand. It is straightforward and is taught in a step-by-step manner to enhance your coding skills.
Key Features
Learn to write your first Python code and run it * Discover Python OOP (Object-Oriented Programming) * Get introduced to concepts such as inheritance and composition (OOP)
Github Repo
https://github.com/PacktPublishing/Practical-Python-Learn-Python-Basics-Step-by-Step-Python-3
About the Author
Edouard Renard 
Edouard Renard is a software engineer, entrepreneur, and robotics teacher. He really enjoys teaching new technologies to people and making complex stuff easy to understand. His method is simple and consists of only three words: step by step. Edouard knows how hard it can be to learn a new topic and just be lost in an ocean of information without knowing what to do. In his courses, he makes sure that you learn one step at a time, through practice, and that you also learn the best practices. He is passionate about robotics and found that it's amazing how many cool projects you can do with a robot when you have the required programming knowledge.
Course Outline
1. Introduction

1. Welcome!
In the video, the author gives an overview of Python and the topics that will be covered in the course.
2. How to Follow This Course
In this video, the author briefs you on how to follow the course and his teaching method.
3. Install Python on Windows
This video demonstrates how to install Python in Windows OS.
4. Install Python on Linux
In this video, the author demonstrates the installation of Python in Linux OS.
5. Install Python on MacOS
This video shows how to install Python in MacOS.
2. Python Basics- Level 1

1. Introduction
This video briefs about the basics of Python and how to go about the course.
2. Write Your First Python Statement
This video demonstrates how to use Python Shell and write your first statement.
3. Numbers and Operations
This video shows how to use numbers and operations in Python.
4. Variables
This video demonstrates how to use variables in Python.
5. Variables - Data Types
This video explores the data types in Python.
6. Lists
This video demonstrates how to create lists in Python.
7. Get User Input
This video demonstrates how to get user input in a specific program.
8. Cast a Type to Another Type
This video shows how to modify a data type of a variable.
9. Python Level 1: Exercises
In this video, the author gives a few exercises to work on.
10. Python Level 1: Exercises - Solution
In this video, the author shows the answers of the exercises given in the previous video.
3. Python Basics Level 2

1. Introduction
This video gives a brief overview of Python functions.
2. Install a Python IDE (PyCharm)
This video demonstrates how to install IDE PyCharm in different operating systems.
3. Write and Execute Your First Python Program
This video demonstrates how to write and execute Python programs and debug issues.
4. Comments
This video shows how to make clean and comprehensive codes.
5. Functions
This video gives an overview of functions in Python.
6. Functions Parameters
This video demonstrates how to add parameters to a function.
7. Function Return Statement
This video shows how to make a function return value.
8. Variable Scope
This video gives an overview of variable scope and demonstrates how to use it.
9. Python Level 2: Exercises
In this video, the author gives a few exercises related to functions in Python.
10. Python Level 2: Exercises - Solution
This video shows the answers to the exercises given in the previous video.
4. Python Basics Level 3

1. Introduction
In this video, the author gives a brief introduction of conditions and loops.
2. Conditional Statements with Booleans
In this video, the author demonstrates how to conduct certain tests to get Boolean output.
3. Combine Different Conditional Statements
In this video, the author demonstrates how to combine different conditional statements.
4. Conditions with If
In this video, the author demonstrates conditional statements using the IF structure.
5. Else, Else If
This video shows more about the IF structure using Else, Elif (Else if).
6. For Loop
This video gives an overview of the For loop in Python.
7. While Loop
This video shows you how the While loop works.
8. Use Loops to Iterate on Python Lists
This video demonstrates how to use loops to iterate on Python lists.
9. Python Level 3: Exercises
In this video, the author gives a few exercises related to conditions and loops.
10. Python Level 3: Exercises - Solution
In this video, the author shows the answer of the exercises given in the previous video.
5. Python Basics Level 4

1. Introduction
In this video, the author gives a brief introduction to the lessons that will be covered in the coming videos.
2. Read from a File
In this video, the author demonstrates how to read from a file and then how to organize it.
3. Write to a File
This video demonstrates how to write to a file in Python.
4. Use a Python Module
This video demonstrates how to import and use a Python module.
5. Create Your Own Python Module
This video demonstrates how to create your own Python module.
6. Run a Python Script from the Terminal
This video demonstrates how to run a Python script from the terminal on different operating systems.
7. Python Level 4: Exercises
In this video, the author gives a few exercises to work on.
8. Python Level 4: Exercises - Solution
This video shows the answers of the exercises given in the previous video.
6. Extra: Python OOP

1. Introduction
In this video, the author gives an introduction of OOP and how to use it to write a program.
2. What Is OOP, What Are Classes
In this video, the author defines and gives a brief description of OOP and classes.
3. Create a Python Class
This video demonstrates how to create a class in Python.
4. Add Class Methods
This video demonstrates how to add functionalities to a class.
5. Create an Object (Instance) from Your Class
This video demonstrates how to create object (instance) from a class.
6. Organize Your OOP Files
This video shows how to organize OOP files in Python.
7. Inheritance - Derive a Class from Another Class
This video gives an overview of inheritance and demonstrates how to derive a class from another class.
8. Composition - Use a Class Inside Another Class
This video gives a brief introduction of the concepts of composition and shows you how to use a class inside another class.
7. Conclusion

1. Best Practices When Writing Python Code
In this video, the author suggests a few tips to follow while writing Python codes.
2. How to Go Further from Here
This video shows you what and how to pursue further in Python after this course is over.

This course for beginners will help you build a solid foundation in programming with Python 3. We will cover core concepts such as Python statements, variables, data types, lists, typecasting, comments, conditional statements, loops, file handling, OOP concepts, and more. A carefully structured course with live demonstrations to get you started.

Practical Python: Learn Python Basics Step by Step - Python 3

<strong>Get to grip with the foundations of Python Programming language</strong>
        <p>The Python Code Camp will help you learn Python programming and the concepts associated with it. If you are a beginner, this is the best way to start your coding journey.
Starting with an introduction to the Python language and its importance, this course will take you through the concept of inputs and decisions, and enable you to explore topics like functions, dictionaries, lists, and tuples in detail. You'll then advance to learning about the various classes and objects along with the different file input and output modes. Every topic concludes with a campfire activity that includes exercises and practical examples to help you understand the concepts better.
By the end of the course, you will have developed a solid foundation for getting started with Python programming.

All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Python-Code-Camp</p>
        <h2>What You Will Learn</h2><p>Get well-versed with the basics of Python Programming<br>Find out how you can simplify coding using functions in Python<br>Understand the implementation of classes and objects<br>Discover the different file input and output modes<br>Explore the different lists and tuples with the help of coding examples</p>
        <h2>Audience</h2><p>This course is for anyone who wants to learn the fundamentals of the Python programming language. Any beginner-level student will find this course useful.</p>
        <h2>Approach</h2><p>This hands-on course will help you with the concepts of Python programming using engaging exercises and coding examples.</p>
        <h2>Key Features</h2><p>Develop fundamental Python programming skills * Explore the different classes and objects in Python and learn to implement them * Understand how different functions work in Python</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-code-camp</p>
        <h2>About the Author</h2><h3>Mark Lassoff</h3><p>Framework Tech, founded by the visionary Mark Lassoff, specializes in teaching digitally accessible technical skills to people just getting started in their technical careers, including web development, digital design, and other career paths enabled by technology. Framework Tech has bridged the gap between entertainment and education, creating a unique, immersive learning experience that resonates with students.

Their instructors are more than just tech-savvy professionals; they are educators first and foremost, handpicked for their unique ability to translate complex technological concepts into digestible, engaging lessons. Framework Tech continues to evolve, constantly innovating to stay at the forefront of the online learning landscape.</p>
        <h2>Course Outline</h2><h4>1. Code Camp Day 001: Getting Started with Python</h4><p></p><br><h4>2.  Input and Decisions</h4><p></p><br><h4>3.  Lists and Tuples</h4><p></p><br><h4>4. Dictionaries</h4><p></p><br><h4>5. Functions</h4><p></p><br><h4>6. Classes and Objects</h4><p></p><br><h4>7. More Class and Objects</h4><p></p><br><h4>8. File Input and Output</h4><p></p>

Get to grip with the foundations of Python Programming language
The Python Code Camp will help you learn Python programming and the concepts associated with it. If you are a beginner, this is the best way to start your coding journey.
Starting with an introduction to the Python language and its importance, this course will take you through the concept of inputs and decisions, and enable you to explore topics like functions, dictionaries, lists, and tuples in detail. You'll then advance to learning about the various classes and objects along with the different file input and output modes. Every topic concludes with a campfire activity that includes exercises and practical examples to help you understand the concepts better.
By the end of the course, you will have developed a solid foundation for getting started with Python programming. All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Python-Code-Camp
What You Will Learn
Get well-versed with the basics of Python Programming
Find out how you can simplify coding using functions in Python
Understand the implementation of classes and objects
Discover the different file input and output modes
Explore the different lists and tuples with the help of coding examples
Audience
This course is for anyone who wants to learn the fundamentals of the Python programming language. Any beginner-level student will find this course useful.
Approach
This hands-on course will help you with the concepts of Python programming using engaging exercises and coding examples.
Key Features
Develop fundamental Python programming skills * Explore the different classes and objects in Python and learn to implement them * Understand how different functions work in Python
Github Repo
https://github.com/packtpublishing/python-code-camp
About the Author
Mark Lassoff
Framework Tech, founded by the visionary Mark Lassoff, specializes in teaching digitally accessible technical skills to people just getting started in their technical careers, including web development, digital design, and other career paths enabled by technology. Framework Tech has bridged the gap between entertainment and education, creating a unique, immersive learning experience that resonates with students. Their instructors are more than just tech-savvy professionals; they are educators first and foremost, handpicked for their unique ability to translate complex technological concepts into digestible, engaging lessons. Framework Tech continues to evolve, constantly innovating to stay at the forefront of the online learning landscape.
Course Outline
1. Code Camp Day 001: Getting Started with Python

2. Input and Decisions

3. Lists and Tuples

4. Dictionaries

5. Functions

6. Classes and Objects

7. More Class and Objects

8. File Input and Output


Get to grip with the foundations of Python Programming language

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