Name: Python Data Analytics Course
Price: 185 GBP
Availability: InStock

Python is one of the most useful programming languages to learn. You can learn back-end of web applications, games, in-house scripts, and even build a robust test automation framework.
This is the most comprehensive yet simple course on the Python programming language and it concentrates on Python 3.x. This means that what you will learn is relevant, not obsolete. No prior coding experience is needed. Python is one of the most useful programming languages to learn. You can use it for the back-end of web applications, games, in-house scripts, and even for building robust test automation frameworks. In recent years, the demand for Python has exploded in the job market with insufficient developers to fill the available roles. Additionally, the QA industry is rapidly transitioning to Python and building automation tools. All resources and code files are placed here: https://github.com/packtpublishing/learn-python-3-from-scratch
What You Will Learn
Understand the concepts behind Object Oriented Programming languages
Understand and write efficient code
Use the Python language to develop back-end web applications
Use the Python language to create games
Use the Python language to build automation frameworks
Use the Python programming language to create your own hobby project
Audience
This course is targeted at both beginners with zero programming background and experienced programmers in another programming language. Testers who want to automate tools will also find it useful.
Approach
This course assumes that you have no programming background. If you have some experience then that's a bonus. Whether you have never coded, have some experience, or have a lot of experience in another programming language, this course is a one stop shop for you.
Key Features
A concise summary with a structured format to grasp important concepts with ease * The best course to refresh Spring concepts and syntax in a short time to prepare for the interviews * Comes with relevant materials and resource files to reinforce your learning
Github Repo
https://github.com/packtpublishing/learn-python-3-from-scratch
About the Author
Let's Kode It Kode It
Let's Kode It is here with a mission to teach everyone a new skill-doing what they have always wanted to do. They are a group of software professionals with more than 10 years of expertise in different areas of software industries and working as team leads in multinational companies. All their instructors have master's degrees from reputed universities. Their expertise lies in various fields of Software Development Life Cycle (SDLC)-from application development and testing to system administration. Be it programming or creating a professional-looking MS Word document, they believe anyone can code and that coding is not something out of this world. Their goal is to offer high-quality technology courses, which will suit a newbie as well as an intermediate.
Course Outline
1. Introduction

1. Introduction
Get to know your instructor from this video.
2. How to Reach the Author?
You will learn multiple ways to reach the author and ask questions.
2. Setup and Configuration

1. Python Installation - Windows
Learn how to install Python 3.x on Windows.
2. Configuration of Python - Windows
Learn how to configure Python 3.x on Windows. Learn how to set PYTHONPATH environment variable.
3. Python Installation and Setup - Mac
Learn how to install Python 3.x on Mac OSX. Learn how to create a virtual environment to use multiple Python versions on the same system.
4. First Project Creation And PyCharm Installation
We will create our first Python project and install PyCharm IDE for Python development.
5. Must Watch Lecture Before Moving Forward
You will learn about some conventions we will be using throughout the course.
6. Package Management Using PIP
You will be able to use Pip to install, uninstall, show details of a Python package.
7. Installing iPython
Learn how to install iPython on terminal and PyCharm.
3. Understanding Variables and Data Type

1. Python Terminal Walkthrough
You will be able to use Python help() command to find help on Python commands and the print() command.
2. Understanding Objects and References
You will be able to understand objects in Python and how objects can be accessed with references.
3. Variables Rules
Learn some rules about variables declaration.
4. Numbers Data Type and Math Operations
Understand and utilize numbers data type in Python programming language and perform some math operations on numbers.
5. Numbers - Exponentiation and Modulo
Perform exponentiation and modulo operations on numbers in Python programming language.
6. Arithmetic Order of Precedence
You will be able to understand which arithmetic operator takes precedence in Python language.
7. Boolean Data Type
You will be able to understand and utilize Boolean data type in Python language.
8. Working with Strings
You will be able to understand and work with string data type in Python programming language.
9. String Methods - Part 1
You will be able to work with built-in Python language methods for string manipulation.
10. String Methods - Part 2
You will be able to work with built-in Python language methods for string manipulation.
11. More String Slicing and Indexing
Learn more string slicing and indexing using negative numbers in Python language.
12. Strings Formatting
You will be able to format strings in multiple ways.
4. Advanced Data Types

1. List and Accessing the Elements
You will be able to understand the list data type and learn how to access the list element using index.
2. List Methods
You will be able to work with built-in list methods of Python language.
3. Working with Dictionary
You will be able to understand the concept of dictionary and how to access items in dictionary in Python programming language.
4. Nested Dictionary
Learn how to build nested dictionary in Python programming language.
5. Dictionary Methods
You will be able to work with built-in dictionary methods of Python language.
6. Working with Tuple
You will be able to understand the concept of tuple and how it's different than a list in Python programming language.
5. Comparison and Boolean Operators

1. Working with Comparators
You will be able to understand and work with different type of comparison operators in Python language.
2. Understanding Boolean Operators
You will be able to understand and work with Boolean operators in Python language.
3. Boolean Operators - Order Of Precedence
You will be able to understand how the order of precedence works with Boolean operators in Python language.
6. Program Control Flow

1. Conditional Logic - If Else Conditions
You will be able to understand conditional logic and best coding practices for indentation in Python language.
2. While Loop Demo
You will be able to understand the concept of control flow using while keyword in Python language.
3. Break Continue and While/Else
You will learn how to use break and continue keywords in a loop. You will also learn the concept of using the else statements with a while loop in Python language.
4. For Loop Demo
You will be able to understand the for loop and use it in Python language.
5. Iterating Multiple Lists - Using the Zip Function
You will learn how to iterate over multiple lists at the same time in Python language.
6. Using Range Function in For Loop
Learn the range() function and you will also learn how to utilize it in For loop in Python language.
7. Methods - Working With Reusable Code

1. Understanding Methods
You will be able to understand concept of methods and how to work with them to make your code reusable in Python language.
2. Working with Return Values
Learn about return statements and how to use them, so that you can utilize the value returned by a method in your code in Python language.
3. Working With Positional / Optional Parameters
You will be able to understand how to use optional parameters in Python programming language.
4. Understanding Variable Scope
You will be able to understand the scope of local and global variables in Python programming language.
5. More Built-in Functions
You will learn about more built-in functions which you can use with numbers in Python language.
6. Exercise with Solution
Test your knowledge with an exercise which applies method, dictionary, if/else condition, return and more concepts of Python language.
8. Classes - Object Oriented Programming

1. Understanding Objects / Classes
You will get introduction to objects and classes with real and practical examples in Python language.
2. Create Your Own Object
You will learn to create a class and create attribute in it. You will also learn about __init__() method and how to create an instance of the class.
3. Create Your Own Methods
You will learn how to create your own methods and you will also learn how to define member variables in Python language.
4. Inheritance
You will be able to understand the concept of inheritance in Python programming language.
5. Method Overriding
You will be able to learn the concept of method overriding with inheritance in Python programming language.
6. Exercise with Solution
Test your knowledge with an exercise which applies classes, using methods in classes, inheritance, overriding and more concepts of Python language.
9. Exception Handling

1. Exception Handling Demo
You will be able to understand how to handle exceptions using try, except blocks in Python programming language.
2. Finally and Else Block
You will be able to understand how to use finally, else block along with try, except block in Python programming language.
3. Exercise with Solution
Test your knowledge with an exercise which applies dictionary concepts and exception handling concepts using try, except, finally blocks of Python programming language.
10. Modules

1. Built-in Modules
You will learn how to use the built-in modules available in Python language.
2. Create Your Own Modules
You will learn how to create your own modules in Python programming language.
11. Working with Files

1. How to Write Data to a File
You will be able to learn how to write data to a file using Python programming language.
2. How to Read a File
You will be able to learn how to read a file using Python programming language.
3. File Handling Using "With" and "As" Keywords
You will be able to learn how to use with and as keywords to read and write a file in Python programming language.
12. Logging Infrastructure

1. Introduction to Logging Infrastructure
You will be able to understand how logging works and you will be able to log messages using logging module in Python programming language.
2. Changing the Format Of Logs
You will be able to learn how to change the format of the displayed log messages using logging module in Python programming language.
3. Logger - Console Example
You will be able to understand how to use the logger object to write logs in the console using Python programming language.
4. Logger - Configuration File Example
You will be able to understand how to use a config file to provide all the log configurations using Python programming language.
5. How to Write A Generic Custom Logger Utility
You will be able to learn how to write a generic custom logger utility using Python programming language.
13. Unittest Infrastructure

1. Unittest Introduction
You will get an introduction to unittest module available with the default installation of Python programming language.
2. Writing First Test Case
You will be able to write your first test case using Unittest module.
3. How to Implement Class Level SetUp and TearDown Methods
You will learn how to implement class level setUp and tearDown methods using Unittest module.
4. How to Assert a Test Method
You will learn how to assert a test method using Unittest module.
5. How to Export PYTHONPATH
You will learn how to set PYTHONPATH to run automation from terminal.
6. How to Run Code from Terminal
You will learn how to run test code from terminal using Unittest module.
7. How to Create a Test Suite
You will learn how to run a group of test classes in a test suite using Unittest module.
14. Pytest -> Advanced Testing Framework

1. Pytest Installation and First Script
You will be able to install Pytest and write your first Pytest script using Python programming language.
2. How to Work with PyTest Fixtures
You will be able to understand and work with fixtures concept in Pytest module.
3. Multiple Ways to Run Test Cases
Learn multiple ways of running tests using Pytest module.
4. Conftest -> Common Fixtures to Multiple Modules
Learn the concept of conftest which helps in putting common fixtures to multiple modules together in one place using Pytest module.
5. How to Maintain Run Oder of Tests
Learn how to maintain run order when there are multiple tests using Pytest module.
6. Running Tests Based on Command Line Arguments
Learn how to run tests based on command line arguments using Pytest module.
7. Structure Tests in a Test Class
You will be able to understand how to structure tests in a class using Pytest module.
8. How to Return a Value from Fixtures
You will learn how to return a value from fixture that can be utilized in tests using Pytest module.
9. How to Generate HTML Test Report
You will learn how to generate HTML report of tests using Pytest module.
15. Conclusion

1. BONUS: What's Next and Other Cool Free Stuff?
Learn about upcoming new courses and some cool new stuff.

Packt

Python

Programming

Python is one of the most useful programming languages to learn. You can learn back-end of web applications, games, in-house scripts, and even build a robust test automation framework.

Learn Python 3 from Scratch

General Admission

Master Python 3.10 from the experts with this course and demonstrate programming wizardry in Python. Go from a geek to a wizard in no time with this well-structured video course and write Python code like a pro. Learn about the often-forgotten basics and special features of programming and Python in general.

The Ultimate Guide to Python Programming with Python 3.10

<h2 style="color: var(--text-heading); box-sizing: border-box;" id="isPasted" fr-original-style="color: var(--text-heading);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">This course at a glance</span></strong></h2><ul style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Accredited by CPDQE</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Get a guide to becoming a professional Python developer</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Learn the basic Python structures: strings, lists, and dictionaries</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Know the Python Object-Oriented Programming (OOP) language</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Explore how from scratch to create a Python program</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Learn how to calculate, retrieve, and store information using variables</span></li></ul><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(38, 99, 82) !important;">A Python developer is a programmer who builds server-side web application logic. They create, maintain, and execute Python applications. Python developers are in high demand in the job market. The course will provide you with step-by-step instructions for becoming a Python developer. &nbsp;&nbsp;</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Throughout this course, you&rsquo;ll receive all the necessary instructions for pursuing a career in Python development. In the beginning, you&rsquo;ll be guided on how to get your first employment as a Python developer. This course will cover developing Python scripts to carry out automated tasks as well as how to create the fundamental Python structures. You&rsquo;ll also receive instructions on how to use fundamental programming constructs like loops and functions. Our professional instructor helps you equip you with theoretical and practical knowledge of Python to excel in this industry<b fr-original-style="" style="box-sizing: border-box;">.</b></p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">An expert instructor designed this &ldquo;Python &nbsp;Programming &rdquo; course to provide you with the best learning experience possible. Our goal is for you to learn and apply the lessons from this course to improve your skills.&nbsp;</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Hurry up. Enrol now!</p><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">Accredited by</span></h3><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">This course is <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPDQE&nbsp;</strong>accredited, which serves as an impactful mechanism for skill enhancement.&nbsp;</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Continuing Professional Development (CPD) stands as a crucial, widely acknowledged method that aids individuals, organisations, and entire industries in staying current with their skills and knowledge.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">CPD not only facilitates the elevation of global standards and benchmarks, aligning with the growing forces of globalisation and consumer expectations but also transforms learning into a deliberate and proactive process. It motivates professionals to uphold a consistently high level of performance and demonstrates their unwavering commitment to a specific job role or profession.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">Course Curriculum</span></strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 1: Introduction to Python Programming from A-Z</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 2: Getting Familiar with Python</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 3: Python Basic Data Types</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 4: Python Operators</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 5: Python Advanced Data Types</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 6: Python Control Flow Part 1</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 7: Python Control Flow Part 2</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 8: Python Functions</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 9: User Input and Error Handling</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 10: Python Advanced Functions</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 11: Python Scripting and Libraries</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 12: NumPy</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 13: Pandas</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 14: Intro To OOP</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 15: Advanced OOP</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 16: Starting a Career in Python</strong></li></ul>

This course at a glance
Accredited by CPDQE
Get a guide to becoming a professional Python developer
Learn the basic Python structures: strings, lists, and dictionaries
Know the Python Object-Oriented Programming (OOP) language
Explore how from scratch to create a Python program
Learn how to calculate, retrieve, and store information using variables
A Python developer is a programmer who builds server-side web application logic. They create, maintain, and execute Python applications. Python developers are in high demand in the job market. The course will provide you with step-by-step instructions for becoming a Python developer. 
Throughout this course, you’ll receive all the necessary instructions for pursuing a career in Python development. In the beginning, you’ll be guided on how to get your first employment as a Python developer. This course will cover developing Python scripts to carry out automated tasks as well as how to create the fundamental Python structures. You’ll also receive instructions on how to use fundamental programming constructs like loops and functions. Our professional instructor helps you equip you with theoretical and practical knowledge of Python to excel in this industry.
An expert instructor designed this “Python Programming ” course to provide you with the best learning experience possible. Our goal is for you to learn and apply the lessons from this course to improve your skills. 
Hurry up. Enrol now!
Accredited by
This course is CPDQE accredited, which serves as an impactful mechanism for skill enhancement. 
Continuing Professional Development (CPD) stands as a crucial, widely acknowledged method that aids individuals, organisations, and entire industries in staying current with their skills and knowledge.
CPD not only facilitates the elevation of global standards and benchmarks, aligning with the growing forces of globalisation and consumer expectations but also transforms learning into a deliberate and proactive process. It motivates professionals to uphold a consistently high level of performance and demonstrates their unwavering commitment to a specific job role or profession.
Course Curriculum
Section 1: Introduction to Python Programming from A-Z
Section 2: Getting Familiar with Python
Section 3: Python Basic Data Types
Section 4: Python Operators
Section 5: Python Advanced Data Types
Section 6: Python Control Flow Part 1
Section 7: Python Control Flow Part 2
Section 8: Python Functions
Section 9: User Input and Error Handling
Section 10: Python Advanced Functions
Section 11: Python Scripting and Libraries
Section 12: NumPy
Section 13: Pandas
Section 14: Intro To OOP
Section 15: Advanced OOP
Section 16: Starting a Career in Python

LearnDrive UK

Python Scripting

You will learn how to become a Python developer through this course.



Python Programming


<strong>Learn Python 3 programming fast!</strong>
        <p>In this course, you'll learn the Python 3 programming language from an absolute beginner level all the way to advanced-in no time at all!

This course is aimed at absolute beginners; you don't need any coding experience at all!
We'll start out by setting 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.

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

Finally, we finish up with more advanced topics such as:
&bull;	Functions
&bull;	Modules
&bull;	Classes

Python is one of the greatest programming languages and learning it has never been this easy!

All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Python-Programming-For-Everyone</p>
        <h2>What You Will Learn</h2><p>Make professional drawings in AutoCAD<br>2D practice drawings<br>3D practice drawings<br>Make a floor plan from a blank drawing</p>
        <h2>Audience</h2><p>This course targets absolute beginners who want to learn the Python programming language.</p>
        <h2>Approach</h2><p>This friendly course is packed with step-by-step instructions, working examples, and helpful advice.</p>
        <h2>Key Features</h2><p>Learn the Python 3 programming language from beginner to advanced * Dive into basic computer science concepts</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-programming-for-everyone</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>

Learn Python 3 programming fast!
In this course, you'll learn the Python 3 programming language from an absolute beginner level all the way to advanced-in no time at all! This course is aimed at absolute beginners; you don't need any coding experience at all!
We'll start out by setting 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. Then, we'll delve into fundamental 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 move on to more intermediate topics such as:
•	Conditional if/else statements
•	While loops
•	For loops
•	Fizzbuzz Finally, we finish up with more advanced topics such as:
•	Functions
•	Modules
•	Classes Python is one of the greatest programming languages and learning it has never been this easy! All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Python-Programming-For-Everyone
What You Will Learn
Make professional drawings in AutoCAD
2D practice drawings
3D practice drawings
Make a floor plan from a blank drawing
Audience
This course targets absolute beginners who want to learn the Python programming language.
Approach
This friendly course is packed with step-by-step instructions, working examples, and helpful advice.
Key Features
Learn the Python 3 programming language from beginner to advanced * Dive into basic computer science concepts
Github Repo
https://github.com/packtpublishing/python-programming-for-everyone
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

Python Programming For Everyone

<p><strong>Introducing Coding using Python</strong></p>
<p>This course introduces your child to a very advanced, yet easy to learn programming languages &ndash; Python. It&rsquo;s safe to say that many apps we use today have been built using Python &ndash; Instagram Web, Netflix, YouTube, to name a few! This course teaches the fundamentals of coding, and creates a solid foundation to solve more complex real-life problems.</p>

Introducing Coding using Python
This course introduces your child to a very advanced, yet easy to learn programming languages – Python. It’s safe to say that many apps we use today have been built using Python – Instagram Web, Netflix, YouTube, to name a few! This course teaches the fundamentals of coding, and creates a solid foundation to solve more complex real-life problems.

Riva Learning

Programming Languages

Computing

Choose this course if your child is new to Python or has done a few hours of Python before. Or, they have a good understanding of block-based platforms like Scratch, and would like to start exploring text-based programming languages.

Introducing coding using Python

General admission

<strong>This course will help you become familiar with the process of building web applications in Python. From understanding Python fundamentals, to studying the database structure to building, and deploying applications, you will learn it all with the help of interesting activities</strong>
        <p>Do you know what is common between Netflix, Instagram, Spotify, Dropbox, and Uber? All these applications are made in Python. There is no doubt that Python is one of the most popular programming languages in the modern technological world. This course will teach you Python and web development skills that will help you to build real-time applications.
The course begins with an introduction to Python fundamentals, and teaches you how to install Python 3.4.3 on your machine. Moving ahead, you will understand how the internet works, find out how Python retrieves data, and get an overview of the MongoDB database. Next, you will apply what you have learnt, and use Flask to create your first web application, a simple blog where users can register and publish posts. Then, you will step up your game and create a web application in Python to receive notifications when prices of items in online stores go down. Towards the end, you will deploy your application to Heroku by integrating GitHub, and also learn how to manually deploy on a server using Ubuntu.
By the end of this course, you will develop essential Python skills needed to build robust web applications. All the code and supporting files for this course are available at - https://github.com/PacktPublishing/Complete-Python-Web-Course-Build-8-Python-Web-Apps</p>
        <h2>What You Will Learn</h2><p>Understand the programming structure of Python<br>Create virtual environments for Python development<br>Build reliable web applications in Python<br>Understand the Flask framework<br>Discover how to create your own Application Programming Interfaces (APIs)<br>Develop a complete front-end application with Bootstrap 4<br>Deploy your applications to Heroku</p>
        <h2>Audience</h2><p>If you are a software developer who is interested to build web applications in Python, then this course is for you. Basic knowledge of Python will be beneficial to effectively understand the concepts covered in the course.</p>
        <h2>Approach</h2><p>This course focuses more on developing web applications, rather than just depending on narration and video slides. Interesting examples and application building activities will help you to understand Python, Flask, MongoDB, API, and several more concepts with ease.</p>
        <h2>Key Features</h2><p>Learn Python programming and Flask framework * Develop applications in Python that use MongoDB database * Understand how the Internet works, and how data is exchanged between the server and the application</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/complete-python-web-course-build-8-python-web-apps</p>
        <h2>About the Author</h2><h3>Jose Salvatierra Fuentes</h3><p>Jose Salvatierra has been teaching online for over seven years, and he loves helping students learn to code and master software development. He founded Teclado to bring software development to everyone; his objective is for you to truly understand everything that goes on behind the scenes.

Coding is extremely rewarding. As you learn, things start to click and make sense. You can join the dots of all the things that weren't quite clear before.

Jose can help you with Python and JavaScript issues, particularly in web and backend development. He is experienced with programming libraries and frameworks such as Flask, React, React Native, and AngularJS. He has worked extensively with UNIX systems, MongoDB, PostgreSQL, and advanced system architecture design.</p>
        <h2>Course Outline</h2><h4>1. Your Age in Seconds</h4><p></p><br><h4>2. Price of a Chair</h4><p></p><br><h4>3. A Simple Terminal Blog</h4><p></p><br><h4>4. Our First Web Application</h4><p></p><br><h4>5. Price Alerts for Online Web Stores</h4><p></p><br><h4>6. Developing a Complete Front-End with Bootstrap 4</h4><p></p><br><h4>7. Simple Development-Stage Deployments to Heroku</h4><p></p><br><h4>8. Deploying your Applications Manually to a Server</h4><p></p>

This course will help you become familiar with the process of building web applications in Python. From understanding Python fundamentals, to studying the database structure to building, and deploying applications, you will learn it all with the help of interesting activities
Do you know what is common between Netflix, Instagram, Spotify, Dropbox, and Uber? All these applications are made in Python. There is no doubt that Python is one of the most popular programming languages in the modern technological world. This course will teach you Python and web development skills that will help you to build real-time applications.
The course begins with an introduction to Python fundamentals, and teaches you how to install Python 3.4.3 on your machine. Moving ahead, you will understand how the internet works, find out how Python retrieves data, and get an overview of the MongoDB database. Next, you will apply what you have learnt, and use Flask to create your first web application, a simple blog where users can register and publish posts. Then, you will step up your game and create a web application in Python to receive notifications when prices of items in online stores go down. Towards the end, you will deploy your application to Heroku by integrating GitHub, and also learn how to manually deploy on a server using Ubuntu.
By the end of this course, you will develop essential Python skills needed to build robust web applications. All the code and supporting files for this course are available at - https://github.com/PacktPublishing/Complete-Python-Web-Course-Build-8-Python-Web-Apps
What You Will Learn
Understand the programming structure of Python
Create virtual environments for Python development
Build reliable web applications in Python
Understand the Flask framework
Discover how to create your own Application Programming Interfaces (APIs)
Develop a complete front-end application with Bootstrap 4
Deploy your applications to Heroku
Audience
If you are a software developer who is interested to build web applications in Python, then this course is for you. Basic knowledge of Python will be beneficial to effectively understand the concepts covered in the course.
Approach
This course focuses more on developing web applications, rather than just depending on narration and video slides. Interesting examples and application building activities will help you to understand Python, Flask, MongoDB, API, and several more concepts with ease.
Key Features
Learn Python programming and Flask framework * Develop applications in Python that use MongoDB database * Understand how the Internet works, and how data is exchanged between the server and the application
Github Repo
https://github.com/packtpublishing/complete-python-web-course-build-8-python-web-apps
About the Author
Jose Salvatierra Fuentes
Jose Salvatierra has been teaching online for over seven years, and he loves helping students learn to code and master software development. He founded Teclado to bring software development to everyone; his objective is for you to truly understand everything that goes on behind the scenes. Coding is extremely rewarding. As you learn, things start to click and make sense. You can join the dots of all the things that weren't quite clear before. Jose can help you with Python and JavaScript issues, particularly in web and backend development. He is experienced with programming libraries and frameworks such as Flask, React, React Native, and AngularJS. He has worked extensively with UNIX systems, MongoDB, PostgreSQL, and advanced system architecture design.
Course Outline
1. Your Age in Seconds

2. Price of a Chair

3. A Simple Terminal Blog

4. Our First Web Application

5. Price Alerts for Online Web Stores

6. Developing a Complete Front-End with Bootstrap 4

7. Simple Development-Stage Deployments to Heroku

8. Deploying your Applications Manually to a Server


Web Development

MongoDB

This course will help you become familiar with the process of building web applications in Python. From understanding Python fundamentals, to studying the database structure to building, and deploying applications, you will learn it all with the help of interesting activities

Complete Python Web Course: Build 8 Python Web Applications

Learn Python with 200+ real-world examples implemented on PyCharm. Ace functions, classes, objects, dictionary, lists, sets, and tuples. The course also covers math, statistics, and random modules. This is the ideal course for you if you want to advance your Python programming skills or switch to Python programming.
Python is a powerful object-oriented programming language used in many development areas and is considered a perfect language for scripting. Python is a cross-platform programming language that allows you to code faster with lesser code writing required. The course begins with a complete introduction to the capabilities and features of Python and how to set up the language on our computer along with PyCharm IDE. We will learn about multiple programming-paradigms (object-oriented, functional, and imperative). You will explore the concepts of an interpreted language that is dynamically typed and cross-platform. The course advances to explain the concepts of OOP: variables, user input, statements, functions, classes, and objects. You will learn about functions, tuples, dictionaries, and lists in Python. You will also explore various operator modules including math, statistics, and random modules. You will work on practical examples to understand the concepts of Python programming well. Upon completion, you will master advanced-level programming skillsets of Python and execute codes successfully. You will be able to complete your quest for learning to program using Python. Using the various built-in Python modules, you will grasp a must-know skill for data science and interpretation.
What You Will Learn
Learn multiple programming paradigms (OOPs and functional programs)
Learn variables, classes, objects, tuples, strings, and operators
Use dynamically typed interpreted language for lesser coding lines
Create lists, loops, functions, tokens, sets, and dictionaries
Understand cross-platform, dynamic, interpreted, and intuitive coding
Use random, math, and statistical operators to handle data
Audience
This course is designed for beginners in programming and those who want to master Python programming skills; intermediate-level Python programmers who want to enhance their Python programming skills; and students and engineers who wish to learn Python as part of their academics. This course would also benefit professional programmers who want to switch to Python programming from alternative coding platforms.

The course requires the learners to have only basic computer knowledge; no other learning prerequisites are required.
Approach
The course follows a learn-by-doing approach with guided explanations for each concept The course is demonstrative and engaging, with on-screen live code executions and practical examples spread over 200 coding exercises to learn Python efficiently and master the language.
Key Features
Learn to program in Python professionally with hands-on examples of over 200+ coding exercises * Explore multiple programming-paradigm (object-oriented, functional, and imperative) concepts * Gain an in-depth understanding of basic and advanced Python and build a strong learning foundation
Github Repo
https://github.com/PacktPublishing/The-Complete-Python-Course-2023-
About the Author
Amit Diwan
Studyopedia was founded by Amit Diwan in 2018 after working for Tutorialspoint , IIT, IASRI, Sitepoint, DU, and C# Corner. Studyopedia sells courses on Udemy, Tutorialspoint, Geeksforgeeks, and Skillshare, providing video courses to master various technologies and programming languages, databases, frameworks, Python, data science, machine learning, Java, Android, C/C++, HTML5, Bootstrap, JavaScript, jQuery, PHP, CSS, WordPress, Drupal, Joomla, Magento, osCommerce, OpenCart, PrestaShop, and other disciplines. Studyopedia delivers high-quality video courses to millions of students and professionals enrolled through their website on multiple programming languages and technologies.
Course Outline
1. Introduction
This section outlines the course introduction and a brief overview of Python and its capabilities and features.
1. Course Introduction
In this video, you will learn about the course in general, the scope of the course, and what we will know upon completion of the course.
2. Python Introduction and Features
Here, we will look at Python's various features and capabilities and how to use the program in coding.
2. Set Up Python
This section demonstrates how to install Python's current version (3.12.0) on our computer along with PyCharm.
1. Install Python on Windows
Here, you will learn to install Python's latest version (3.12.0) available for Windows.
2. Install PyCharm
This video demonstrates how to install PyCharm (PyCharm Community edition, 2023.2.2) available as free/open source.
3. Set Up Python Interpreter in PyCharm
We will configure Python Interpreter in PyCharm and customize it for optimal usage on our system.
4. Run the First Python Project
The final step of this section is to run our first Python program on the PyCharm IDE.
3. Install Python on MAC
Dive into setting up your Python development environment on Mac by installing Python and PyCharm, connecting the Python interpreter, and running your first project with ease.
1. Install Python and PyCharm on MAC
Learn how to effortlessly install the latest version of Python and PyCharm on Mac, setting up your development environment to run your first Python program.
4. Python Variables
In this section, we will understand variables in Python and how to go about creating them.
1. What Are Variables in Python?
In this video, you will learn about Python's variables and how we can create a variable.
2. Coding Example - Variables
Here, we will look at an example of a variable on the Python IDE.
5. Scope of Variables
In this section, we will understand a variable's scope and learn its importance in Python.
1. What Is the Scope of Variables?
In this video, you will learn about the scope of variables, why it is important, and the different scopes available.
2. Local Scope
You will learn about a variable in a function called the local scope.
3. Global Scope
You will learn about a variable created outside a function called the global scope.
4. Global Keyword: Change the Value of a Global Variable
In this video, we will explore the keywords that can be used to change values of global variables.
6. Python Tokens
This section focuses on the different kinds of tokens in Python.
1. What Are tokens and Their Types?
In this video, you will learn about a token in Python and what are the different types of tokens such as keywords, identifiers, and literals.
2. Keywords
Here, we will look at what keywords are in Python, how they differ from variables, and why we can't name them as variables.
3. Identifiers
Let's learn about identifiers' roles in naming variables, arrays, and functions.
4. Literals
Learn what Python literals are and their types with examples: string literals, numeric literals, and Boolean literals.
7. Python - Operators
This section delves deep into the different operators used in Python programming.
1. What Are Operators?
You will learn about Python's different operators such as arithmetic, assignment, logical, identity, membership, and bitwise.
2. Arithmetic Operators
Here, you will learn about basic operators in arithmetic, such as addition, subtraction, multiplication, and division.
3. Assignment Operators
Learn about assignment operators that are used to assign values to variables.
4. Logical Operators
Here, we will look at the AND, OR, and NOT conditional statements and how logical operators combine them to return results.
5. Identity Operators
In this lesson, you will learn about identity operators and where they are used in Python programming.
6. Membership Operators
This lecture discusses how membership operators check membership in a data structure.
7. Bitwise Operators
Here, you will learn about combining binary numbers using the bitwise operators.
8. Python - Comments
This section discusses the various kinds of comments used in Python.
1. What Are Comments?
In this video, we will look at the various comments we can use in Python.
2. Single-Line and Multi-Line Comments
Here, you will learn to create comments using the # and ''' to develop single and multiline comments.
9. Python - Type Conversion
This section illustrates type conversion in Python.
1. What Is Type Conversion in Python?
We will understand type conversion and learn how to use it to modify data structures in Python.
2. 3 Coding Examples
We will work on a project called "Python Type Conversion".
10. Python - Get User Input
This section demonstrates the various user input possibilities supported in Python.
1. How to Get User Input (With Example)
In this video, you will learn how Python supports user input and how different user inputs can be obtained.
11. Python - Decision-Making Statements
This section discusses different conditional statements and uses decision-making statements in Python.
1. What Are Decision-Making Statements in Python?
You will learn about conditional statements and how they affect the code based on the conditions applied.
2. if Statement
We will look at how the if statement is executed when the condition is true.
3. ifelse Statement
You will learn about the if and the else statements and how they execute if one statement is true or false.
4. if...elif...else
This lecture demonstrates when more than two conditions or statements are present for executing code.
12. Python - Break and Continue Statements
This section illustrates the break and continue statements in Python.
1. Break Statement
We will look at using the break statement and how it terminates execution and gets out of the loop.
2. Continue Statement
Here, we will understand how the continue statement transfers control to a conditional expression and jumps to the next loop iteration.
13. Python - Loops
In this section, we will look at what a loop is in Python and the different kinds of loops available.
1. What Are Loops?
Let's understand what a loop is in Python and the different types of loops.
2. While Loop
Here, we will see how the while loop executes only when the condition is true.
3. For Loop
You will learn how often a loop will execute based on the for-loop condition.
14. Python - Numbers
This section discusses numbers used in Python, such as integer, long, float, complex datatype, and more.
1. What Are Numeric Datatypes?
This lesson explains the different numbers or numeric datatypes used in Python.
2. Types - Integer, Long, Float, Complex Data Types
Here, you will learn about Python's various data types or numbers.
15. Python - Strings
This section focuses on strings, explaining what a string is in Python programming, the different strings available, and how they are essential.
1. What Are Strings?
Let's understand what a string is in Python, what the concatenation of strings is, and how it executes.
2. Create a String in Python
Here, you will learn how to create a string in Python.
3. String Literals
We will further understand what a literal is and how they are executed with single, double, and triple quotes.
4. Slicing to Access Substrings
Learn about slicing and how to access substrings using slicing.
5. Negative Indexing to Access Substrings
We will look at accessing negative indexing with various examples.
6. Accessing a Character in Python Strings
After creating a string, we will look at accessing a single character in a string.
7. Concatenate Strings
Understand the concatenation of strings and learn about concatenating strings in Python.
8. 30+ Built-In String methods - Coding Examples
Learn about the 40 different built-in string methods.
16. Python - Functions
This section focuses on functions in Python. We will look at the different functions and how to create and call a function.
1. What Are Functions?
You will learn about functions and function arguments in Python, required keywords, arbitrary, default, and others.
2. Create and Call a Function
We will work on a "Python Functions" project and learn to create a function.
3. Create a Function with Parameters
Understand what the parameters of a function are in this video.
4. Function Arguments
In this lecture, we will look at function arguments and the different function arguments used in Python.
5. Recursion
Learn about the recursion process, where a function calls itself for an execution.
6. The Return Statement
In this video, we will look at terminating or stopping a function and how to exit a function.
17. Python - Lambda Functions
This section discusses anonymous functions called the Lambda function.
1. What Are Lambda Functions?
Learn about the Lambda function, which is also an anonymous function or a function without a name.
2. 5 Coding Examples
Examples of the code are demonstrated in this video for a better understanding of the anonymous function.
18. Python - Classes and Objects
In this section, we will focus on an object and a class and understand their importance in Python programming.
1. Classes and Objects - Introduction
In this video, you will learn about objects and classes in Python and look at some examples of both.
2. What Is a class? How to Create It?
Learn to create a class and how they are the blueprints for objects in Python.
3. What Is an Object?
Let's learn about instances of a class called the object with real-life examples.
4. Examples - Classes and Objects
This video demonstrates real examples of both classes and objects.
5. _init_() Function
An init function executes when an object gets created. Let's look at how the init function works.
19. Python - Classes and Objects
This section focuses on tuples, how a tuple is executed, and how a sequence of values is used.
1. What Are Tuples in Python?
Let's understand a collection of objects called the tuple and how they cannot be modified once created.
2. Difference between Tuples and Lists
Learn about the fundamental differences between tuples and lists.
3. Create a Tuple in Python
Create a tuple with and without parentheses.
4. Tuples - 16 Coding Examples
Various examples of tuples are demonstrated in this video for further learning.
20. Python - Dictionary
This section discusses the dictionary or terminology used in Python and looks at understanding the different key values.
1. What Are Dictionaries in Python?
Let's look at a dictionary in Python and create our dictionary that represents key-value pairs in Python.
2. How to Create a Dictionary
This video demonstrates how to create a dictionary in Python.
3. 19 Coding Examples - Dictionary
This is an example-driven video to explain the concept of a dictionary in Python.
21. Python - Lists
This section focuses on the lists used in Python, how to create lists, the different types of lists and tuples, and the difference between lists.
1. What Are Lists in Python?
Let's understand lists in Python and how to create a list.
2. Difference between Tuples and Lists
This video explains the fundamental differences between lists and tuples.
3. Creating a List in Python
In this video, you will learn how to create a list in Python and populate the list.
4. 22 Coding Examples - Lists
This is an example-driven video of lists created using Python.
5. Join Lists
This video demonstrates how to join two lists using the + operator.
6. Multi-Dimensional Python List
Lists within lists are called multidimensional lists in Python. This video demonstrates the concept and shows how to create them.
22. Python - Sets
This section illustrates the concepts of sets, which are part of collections in Python, such as tuples and lists.
1. What Are Sets in Python?
The video shows a set in Python and explains the importance of using sets in coding.
2. How to Create a Set
Here, you will learn about creating a set and create another project called demo.py.
3. Sets - 15 Coding Example
This video is a detailed explanations of sets using multiple coding examples.
23. Python - Modules
In this section, we will look at Python modules.
1. What Are Python Modules?
This video lecture outlines a module in Python and how they help organize code in Python.
2. How to Load a Module in Python
We will understand loading a module in Python and how to use the import and from-import statements to load a module.
24. Python - math Module
This section deals with modules that can be used to perform mathematical tasks.
1. What Is a Math Module and How to Import?
You will learn about the math module and how you can use it and also learn with some examples and work around functions in the math module.
2. 10 Coding Examples - Math Module Functions
Let's look at the math module using constants trigonometry and illustrate it with many examples.
25. Python - Statistics Module
This section handles statistical data in a module.
1. What Is a Statistics Module and How to Import?
This video lecture explains the statistical module using mean, median, mode, average, standard deviation, and more.
2. 4 Coding Examples - Statistics Module Functions
Understand the primary functions of a statistic module with examples.
26. Python - Random Modules
This section focuses on random modules.
1. What Is a Random module and How to Import It?
In this video, we will work with the random module and how to work around functions using the random built-in module.
2. Four Coding Examples - Random Module Functions
In this video, we will look at various coding examples of random module functions.

Learn Python with 200+ real-world examples implemented on PyCharm. Ace functions, classes, objects, dictionary, lists, sets, and tuples. The course also covers math, statistics, and random modules. This is the ideal course for you if you want to advance your Python programming skills or switch to Python programming.

The Complete Python Course (2024)

<p>Are you interested in learning one of the most popular and widely-used programming languages in the world? Look no further than our Python (Machine Learning &amp; Programming) bundle, endorsed by the Quality Licence Scheme. This comprehensive bundle is designed to provide you with a solid foundation in Python programming and machine learning, allowing you to pursue a range of exciting career paths in this rapidly-growing field.</p> <p>The Python programming course covers the fundamental concepts of programming in Python, including variables, data types, functions, and control structures. You'll also learn about object-oriented programming, file handling, and exception handling, giving you a broad understanding of how to use Python to solve real-world problems.</p> <p>In addition to Python programming, this bundle also covers machine learning, one of the most in-demand skills in the tech industry. The Machine Learning course provides a comprehensive overview of the concepts and techniques used in machine learning, including regression analysis, decision trees, and clustering. You'll also learn about data pre-processing, model selection, and evaluation, giving you the skills and knowledge needed to build and deploy machine learning models.</p> <p>Upon completing this bundle, you'll receive a hardcopy certificate endorsed by the Quality Licence Scheme, proving your Python programming and machine learning proficiency. So why wait? Enrol today and take the first step towards a rewarding and challenging career in the tech industry.</p> <p><strong>This bundle comprises the following courses:</strong></p> <p><strong>QLS Endorsed Courses:</strong></p> <ul> <li><strong>Course 01:</strong> Certificate in Machine Learning with Python at QLS Level 3</li><li><strong>Course 02:</strong> Diploma in Python Programming at QLS Level 5</li></ul> <p><strong>CPD QS Accredited Courses:</strong></p> <ul> <li><strong>Course 03:</strong> Azure Machine Learning</li><li><strong>Course 04:</strong> Complete Python Machine Learning &amp; Data Science Fundamentals</li><li><strong>Course 05:</strong> Machine Learning Model Using AWS SageMaker Canvas</li><li><strong>Course 06:</strong> Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong>Course 07:</strong> 2021 Data Science &amp; Machine Learning with R from A-Z</li></ul> <p><strong>Learning Outcomes</strong></p> <ul> <li>Develop a solid understanding of Python for building applications and data manipulation.</li><li>Learn the fundamental concepts and techniques used in machine learning and data science using Python.</li><li>Acquire the skills to build and train machine learning models for predictive analysis.</li><li>Understand how to use popular tools and platforms like AWS SageMaker and Azure for machine learning.</li><li>Develop a good understanding of statistics and probability concepts used in data science and machine learning.</li><li>Gain hands-on experience in using R programming language for data science and machine learning.</li><li>Acquire a valuable skill set that can be applied to various industries such as finance, healthcare, and tech.</li></ul> <p><strong>Please Note:</strong> Imperial Academy is a One Education approved resale partner for Quality Licence Scheme Endorsed courses.</p><p>The Machine Learning with Python course is designed to provide learners with a comprehensive understanding of machine learning and data science using Python programming language. This course covers a wide range of topics, including data analysis, data visualisation, regression, classification, clustering, neural networks, and deep learning. Through this course, learners will develop the skills and knowledge to build and train machine learning models for predictive analysis.</p> <p>The Diploma in Python Programming course is designed to teach learners the fundamentals of Python programming language, including syntax, data types, control structures, functions, and modules. Learners will also learn about the different data structures and algorithms used in Python programming. This course provides a strong foundation for learners who are interested in pursuing a career in software development or data science.</p> <p><strong>Certification</strong></p> <p>In pursuing QLS-endorsed courses, learners attain not only profound understanding but also amplify their professional prowess, enriching their curriculum vitae.</p> <p><strong>The Quality Licence Scheme </strong>stands as a reputable and distinguished endorsement, emblematic of exceptional standards and excellence throughout the UK.</p> <p>Investing in this comprehensive package, learners will not only receive one but TWO HARD COPY QLS ENDORSED CERTIFICATES conveniently <strong>delivered to their doorstep!</strong></p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        10 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                             <ul> <li>Students and recent graduates looking to enter the field of programming or machine learning</li><li>Professionals looking to enhance their skills in Python programming and machine learning</li><li>Individuals looking for a career change into programming or machine learning</li><li>Anyone interested in learning about Python programming and machine learning</li><li>Entrepreneurs who want to develop their own machine-learning applications</li></ul> 
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <ul> <li>Python Developer - £35,000 to £65,000 per year</li><li>Machine Learning Engineer - £45,000 to £85,000 per year</li><li>Data Analyst - £25,000 to £50,000 per year</li><li>Software Engineer - £30,000 to £60,000 per year</li><li>Artificial Intelligence Engineer - £50,000 to £90,000 per year</li></ul> <p>Please note that salary ranges are estimates and may vary depending on qualifications, experience and other factors.</p> 
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

Are you interested in learning one of the most popular and widely-used programming languages in the world? Look no further than our Python (Machine Learning & Programming) bundle, endorsed by the Quality Licence Scheme. This comprehensive bundle is designed to provide you with a solid foundation in Python programming and machine learning, allowing you to pursue a range of exciting career paths in this rapidly-growing field.
The Python programming course covers the fundamental concepts of programming in Python, including variables, data types, functions, and control structures. You'll also learn about object-oriented programming, file handling, and exception handling, giving you a broad understanding of how to use Python to solve real-world problems.
In addition to Python programming, this bundle also covers machine learning, one of the most in-demand skills in the tech industry. The Machine Learning course provides a comprehensive overview of the concepts and techniques used in machine learning, including regression analysis, decision trees, and clustering. You'll also learn about data pre-processing, model selection, and evaluation, giving you the skills and knowledge needed to build and deploy machine learning models.
Upon completing this bundle, you'll receive a hardcopy certificate endorsed by the Quality Licence Scheme, proving your Python programming and machine learning proficiency. So why wait? Enrol today and take the first step towards a rewarding and challenging career in the tech industry.
This bundle comprises the following courses:
QLS Endorsed Courses:
Course 01: Certificate in Machine Learning with Python at QLS Level 3
Course 02: Diploma in Python Programming at QLS Level 5
CPD QS Accredited Courses:
Course 03: Azure Machine Learning
Course 04: Complete Python Machine Learning & Data Science Fundamentals
Course 05: Machine Learning Model Using AWS SageMaker Canvas
Course 06: Statistics & Probability for Data Science & Machine Learning
Course 07: 2021 Data Science & Machine Learning with R from A-Z
Learning Outcomes
Develop a solid understanding of Python for building applications and data manipulation.
Learn the fundamental concepts and techniques used in machine learning and data science using Python.
Acquire the skills to build and train machine learning models for predictive analysis.
Understand how to use popular tools and platforms like AWS SageMaker and Azure for machine learning.
Develop a good understanding of statistics and probability concepts used in data science and machine learning.
Gain hands-on experience in using R programming language for data science and machine learning.
Acquire a valuable skill set that can be applied to various industries such as finance, healthcare, and tech.
Please Note: Imperial Academy is a One Education approved resale partner for Quality Licence Scheme Endorsed courses.
The Machine Learning with Python course is designed to provide learners with a comprehensive understanding of machine learning and data science using Python programming language. This course covers a wide range of topics, including data analysis, data visualisation, regression, classification, clustering, neural networks, and deep learning. Through this course, learners will develop the skills and knowledge to build and train machine learning models for predictive analysis.
The Diploma in Python Programming course is designed to teach learners the fundamentals of Python programming language, including syntax, data types, control structures, functions, and modules. Learners will also learn about the different data structures and algorithms used in Python programming. This course provides a strong foundation for learners who are interested in pursuing a career in software development or data science.
Certification
In pursuing QLS-endorsed courses, learners attain not only profound understanding but also amplify their professional prowess, enriching their curriculum vitae.
The Quality Licence Scheme stands as a reputable and distinguished endorsement, emblematic of exceptional standards and excellence throughout the UK.
Investing in this comprehensive package, learners will not only receive one but TWO HARD COPY QLS ENDORSED CERTIFICATES conveniently delivered to their doorstep!
 CPD 
10 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Students and recent graduates looking to enter the field of programming or machine learning
Professionals looking to enhance their skills in Python programming and machine learning
Individuals looking for a career change into programming or machine learning
Anyone interested in learning about Python programming and machine learning
Entrepreneurs who want to develop their own machine-learning applications
 Career path 
Python Developer - £35,000 to £65,000 per year
Machine Learning Engineer - £45,000 to £85,000 per year
Data Analyst - £25,000 to £50,000 per year
Software Engineer - £30,000 to £60,000 per year
Artificial Intelligence Engineer - £50,000 to £90,000 per year
Please note that salary ranges are estimates and may vary depending on qualifications, experience and other factors.
 Certificates 
Certificate of completion
 Hard copy certificate - Included 

Imperial Academy

Level 3 & 5 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

Python (Machine Learning & Programming)

<strong>Learn Python programming by developing robust GUIs and games</strong>
        <p>Coding for beginners and kids is now made exciting and easy. Learn to code fun?games, graphics and graphical user interfaces (GUIs) in Python, one of the most powerful programming languages known for its speed, flexibility, and ease-of-use. The Python coding language integrates well with other platforms and runs on almost all modern devices. This OSI-approved open-source language allows free use and distribution (including commercial distribution).
This course helps you delve into the graphics and UX (user experience) aspects of Python. You'll get up to speed with this computer language in a hands-on manner by drawing shapes, coding a simple game, and designing GUIs (graphical user interfaces), including a functional GUI for a temperature converter app. The course will also guide you through analyzing scientific and statistical data. As you advance, you'll get to grips with developing educational software. In addition to this, you'll gain comprehensive insights into accessing and organizing databases, along with understanding how to manage networks.
By the end of this course, you will be well-versed with using not only Python 2 but Python 3 as well for designing immersive games and developing interactive applications and websites.
All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Project-Based-Python-Programming-For-Kids-and-Beginners</p>
        <h2>What You Will Learn</h2><p>Build simple Python-based games using programming loops and functions<br>Draw graphics using the Python module Turtle<br>Develop Python graphical user interfaces with Tkinter<br>Understand how to work with Python 2 and 3<br>Use the in-built Python modules for your projects<br>Use Microsoft Visual Studio Code-a powerful IDLE for programming and development in Python and other languages</p>
        <h2>Audience</h2><p>If you are interested in developing your Python skills, working through real-life programming projects, or building exciting games and GUIs, then this course is for you.</p>
        <h2>Approach</h2><p>The course provides detailed instructions for everything from Python installation to getting started with Microsoft Visual Code. It features helpful coding instructions, along with code examples. Each video will teach you a new programming?concept?that you can apply in real time. The course also helps you reinforce your learning with fun quizzes.</p>
        <h2>Key Features</h2><p>Learn the basics of Python game programming * Develop intuitive and efficient Python GUIs * Create simple yet practical applications in Python</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/project-based-python-programming-for-kids-and-beginners</p>
        <h2>About the Author</h2><h3>Minerva Singh</h3><p>Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.</p>
        <h2>Course Outline</h2><h4>1. Introduction to Project Based Python Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to the Course & Me</p><p style='margin: 0'>Introduction to Project Based Python Programming: Introduction to the Course & Me</p></td></tr><tr><td style='padding: 15px;'><p>2. Python Installation for Windows</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Installation for Windows</p></td></tr><tr><td style='padding: 15px;'><p>3. Python Installation for Other OS</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Installation for Other OS</p></td></tr><tr><td style='padding: 15px;'><p>4. Online Python IDLE</p><p style='margin: 0'>Introduction to Project Based Python Programming: Online Python IDLE</p></td></tr><tr><td style='padding: 15px;'><p>5. Hello World in Python</p><p style='margin: 0'>Introduction to Project Based Python Programming: Hello World in Python</p></td></tr><tr><td style='padding: 15px;'><p>6. Python Coding with Visual Studio</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Coding with Visual Studio</p></td></tr><tr><td style='padding: 15px;'><p>7. Some Common Python Terms</p><p style='margin: 0'>Introduction to Project Based Python Programming: Some Common Python Terms</p></td></tr><tr><td style='padding: 15px;'><p>8. Conclusion to Section 1</p><p style='margin: 0'>Introduction to Project Based Python Programming: Conclusion to Section 1</p></td></tr></tbody></table><br><h4>2. Diving into the Python Basics</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Basic Arithmetic in Python</p><p style='margin: 0'>Diving into the Python Basics: Basic Arithmetic in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Welcome to the World of Data Types</p><p style='margin: 0'>Diving into the Python Basics: Welcome to the World of Data Types</p></td></tr><tr><td style='padding: 15px;'><p>3. Random Number Generation</p><p style='margin: 0'>Diving into the Python Basics: Random Number Generation</p></td></tr><tr><td style='padding: 15px;'><p>4. Working With Strings</p><p style='margin: 0'>Diving into the Python Basics: Working With Strings</p></td></tr><tr><td style='padding: 15px;'><p>5. Get User Inputs</p><p style='margin: 0'>Diving into the Python Basics: Get User Inputs</p></td></tr><tr><td style='padding: 15px;'><p>6. Tuples</p><p style='margin: 0'>Diving into the Python Basics: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>7. Lists</p><p style='margin: 0'>Diving into the Python Basics: Lists</p></td></tr><tr><td style='padding: 15px;'><p>8. Dictionaries</p><p style='margin: 0'>Diving into the Python Basics: Dictionaries</p></td></tr><tr><td style='padding: 15px;'><p>9. Defining our Own Functions in Python-Basic</p><p style='margin: 0'>Diving into the Python Basics: Defining our Own Functions in Python-Basic</p></td></tr><tr><td style='padding: 15px;'><p>10. Some More On Functions</p><p style='margin: 0'>Diving into the Python Basics: Some More On Functions</p></td></tr><tr><td style='padding: 15px;'><p>11. Conclusions to Section 2</p><p style='margin: 0'>Diving into the Python Basics: Conclusions to Section 2</p></td></tr></tbody></table><br><h4>3. Decision Making with Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Rationale for this section</p><p style='margin: 0'>Decision Making with Programming: Rationale for this section</p></td></tr><tr><td style='padding: 15px;'><p>2. if-else loops</p><p style='margin: 0'>Decision Making with Programming: if-else loops</p></td></tr><tr><td style='padding: 15px;'><p>3. elif in if-else loops</p><p style='margin: 0'>Decision Making with Programming: elif in if-else loops</p></td></tr><tr><td style='padding: 15px;'><p>4. while loop</p><p style='margin: 0'>Decision Making with Programming: while loop</p></td></tr><tr><td style='padding: 15px;'><p>5. for loop</p><p style='margin: 0'>Decision Making with Programming: for loop</p></td></tr><tr><td style='padding: 15px;'><p>6. More on Loops</p><p style='margin: 0'>Decision Making with Programming: More on Loops</p></td></tr><tr><td style='padding: 15px;'><p>7. Nested For Loop</p><p style='margin: 0'>Decision Making with Programming: Nested For Loop</p></td></tr><tr><td style='padding: 15px;'><p>8. Build a Number Guessing Game!!-Basic</p><p style='margin: 0'>Decision Making with Programming: Build a Number Guessing Game!!-Basic</p></td></tr><tr><td style='padding: 15px;'><p>9. Build a Number Guessing Game!!-Advanced</p><p style='margin: 0'>Decision Making with Programming: Build a Number Guessing Game!!-Advanced</p></td></tr><tr><td style='padding: 15px;'><p>10. OPTIONAL:Build a Number Guessing Game!!-(More) Advanced</p><p style='margin: 0'>Decision Making with Programming: OPTIONAL:Build a Number Guessing Game!!-(More) Advanced</p></td></tr><tr><td style='padding: 15px;'><p>11. Conclusion to Section 3</p><p style='margin: 0'>Decision Making with Programming: Conclusion to Section 3</p></td></tr></tbody></table><br><h4>4. Graphics with Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Working With Graphics in Python</p><p style='margin: 0'>Graphics with Python: Working With Graphics in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Draw a Square</p><p style='margin: 0'>Graphics with Python: Draw a Square</p></td></tr><tr><td style='padding: 15px;'><p>3. The Idea Behind Angles</p><p style='margin: 0'>Graphics with Python: The Idea Behind Angles</p></td></tr><tr><td style='padding: 15px;'><p>4. Draw a Rectangle Using Loops</p><p style='margin: 0'>Graphics with Python: Draw a Rectangle Using Loops</p></td></tr><tr><td style='padding: 15px;'><p>5. Create a Rectangle Function</p><p style='margin: 0'>Graphics with Python: Create a Rectangle Function</p></td></tr><tr><td style='padding: 15px;'><p>6. Code Along1: Draw an Equilateral Triangle</p><p style='margin: 0'>Graphics with Python: Code Along1: Draw an Equilateral Triangle</p></td></tr><tr><td style='padding: 15px;'><p>7. Code Along2: Draw an Equilateral Triangle With Loops</p><p style='margin: 0'>Graphics with Python: Code Along2: Draw an Equilateral Triangle With Loops</p></td></tr><tr><td style='padding: 15px;'><p>8. Code an Irregular Shape: Start a Snowflake</p><p style='margin: 0'>Graphics with Python: Code an Irregular Shape: Start a Snowflake</p></td></tr><tr><td style='padding: 15px;'><p>9. Snowflakes!!</p><p style='margin: 0'>Unsupervised Learning in Python: Hierarchical Clustering-practical</p></td></tr><tr><td style='padding: 15px;'><p>10. Conclusions to Section 4</p><p style='margin: 0'>Graphics with Python: Conclusions to Section 4</p></td></tr></tbody></table><br><h4>5. GUI Programming with Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Start with GUIs in Python</p><p style='margin: 0'>GUI Programming with Python: Start with GUIs in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Create a Simple Button With tkinter</p><p style='margin: 0'>GUI Programming with Python: Create a Simple Button With tkinter</p></td></tr><tr><td style='padding: 15px;'><p>3. Add Functionality to the Button</p><p style='margin: 0'>GUI Programming with Python: Add Functionality to the Button</p></td></tr><tr><td style='padding: 15px;'><p>4. The Tkinter Grid</p><p style='margin: 0'>GUI Programming with Python: The Tkinter Grid</p></td></tr><tr><td style='padding: 15px;'><p>5. Common Tkinter GUI Widgets</p><p style='margin: 0'>GUI Programming with Python: Common Tkinter GUI Widgets</p></td></tr><tr><td style='padding: 15px;'><p>6. Canvas for Drawing-part1</p><p style='margin: 0'>GUI Programming with Python: Canvas for Drawing-part1</p></td></tr><tr><td style='padding: 15px;'><p>7. Canvas for Drawing-part2</p><p style='margin: 0'>GUI Programming with Python: Canvas for Drawing-part2</p></td></tr><tr><td style='padding: 15px;'><p>8. Simple Expression Evaluator</p><p style='margin: 0'>GUI Programming with Python: Simple Expression Evaluator</p></td></tr><tr><td style='padding: 15px;'><p>9. Start With the Temperature Conversion App</p><p style='margin: 0'>GUI Programming with Python: Start With the Temperature Conversion App</p></td></tr><tr><td style='padding: 15px;'><p>10. Complete the App-1</p><p style='margin: 0'>GUI Programming with Python: Complete the App-1</p></td></tr><tr><td style='padding: 15px;'><p>11. Complete the App-2</p><p style='margin: 0'>GUI Programming with Python: Complete the App-2</p></td></tr></tbody></table>

Learn Python programming by developing robust GUIs and games
Coding for beginners and kids is now made exciting and easy. Learn to code fun?games, graphics and graphical user interfaces (GUIs) in Python, one of the most powerful programming languages known for its speed, flexibility, and ease-of-use. The Python coding language integrates well with other platforms and runs on almost all modern devices. This OSI-approved open-source language allows free use and distribution (including commercial distribution).
This course helps you delve into the graphics and UX (user experience) aspects of Python. You'll get up to speed with this computer language in a hands-on manner by drawing shapes, coding a simple game, and designing GUIs (graphical user interfaces), including a functional GUI for a temperature converter app. The course will also guide you through analyzing scientific and statistical data. As you advance, you'll get to grips with developing educational software. In addition to this, you'll gain comprehensive insights into accessing and organizing databases, along with understanding how to manage networks.
By the end of this course, you will be well-versed with using not only Python 2 but Python 3 as well for designing immersive games and developing interactive applications and websites.
All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Project-Based-Python-Programming-For-Kids-and-Beginners
What You Will Learn
Build simple Python-based games using programming loops and functions
Draw graphics using the Python module Turtle
Develop Python graphical user interfaces with Tkinter
Understand how to work with Python 2 and 3
Use the in-built Python modules for your projects
Use Microsoft Visual Studio Code-a powerful IDLE for programming and development in Python and other languages
Audience
If you are interested in developing your Python skills, working through real-life programming projects, or building exciting games and GUIs, then this course is for you.
Approach
The course provides detailed instructions for everything from Python installation to getting started with Microsoft Visual Code. It features helpful coding instructions, along with code examples. Each video will teach you a new programming?concept?that you can apply in real time. The course also helps you reinforce your learning with fun quizzes.
Key Features
Learn the basics of Python game programming * Develop intuitive and efficient Python GUIs * Create simple yet practical applications in Python
Github Repo
https://github.com/packtpublishing/project-based-python-programming-for-kids-and-beginners
About the Author
Minerva Singh
Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.
Course Outline
1. Introduction to Project Based Python Programming

1. Introduction to the Course & Me
Introduction to Project Based Python Programming: Introduction to the Course & Me
2. Python Installation for Windows
Introduction to Project Based Python Programming: Python Installation for Windows
3. Python Installation for Other OS
Introduction to Project Based Python Programming: Python Installation for Other OS
4. Online Python IDLE
Introduction to Project Based Python Programming: Online Python IDLE
5. Hello World in Python
Introduction to Project Based Python Programming: Hello World in Python
6. Python Coding with Visual Studio
Introduction to Project Based Python Programming: Python Coding with Visual Studio
7. Some Common Python Terms
Introduction to Project Based Python Programming: Some Common Python Terms
8. Conclusion to Section 1
Introduction to Project Based Python Programming: Conclusion to Section 1
2. Diving into the Python Basics

1. Basic Arithmetic in Python
Diving into the Python Basics: Basic Arithmetic in Python
2. Welcome to the World of Data Types
Diving into the Python Basics: Welcome to the World of Data Types
3. Random Number Generation
Diving into the Python Basics: Random Number Generation
4. Working With Strings
Diving into the Python Basics: Working With Strings
5. Get User Inputs
Diving into the Python Basics: Get User Inputs
6. Tuples
Diving into the Python Basics: Tuples
7. Lists
Diving into the Python Basics: Lists
8. Dictionaries
Diving into the Python Basics: Dictionaries
9. Defining our Own Functions in Python-Basic
Diving into the Python Basics: Defining our Own Functions in Python-Basic
10. Some More On Functions
Diving into the Python Basics: Some More On Functions
11. Conclusions to Section 2
Diving into the Python Basics: Conclusions to Section 2
3. Decision Making with Programming

1. Rationale for this section
Decision Making with Programming: Rationale for this section
2. if-else loops
Decision Making with Programming: if-else loops
3. elif in if-else loops
Decision Making with Programming: elif in if-else loops
4. while loop
Decision Making with Programming: while loop
5. for loop
Decision Making with Programming: for loop
6. More on Loops
Decision Making with Programming: More on Loops
7. Nested For Loop
Decision Making with Programming: Nested For Loop
8. Build a Number Guessing Game!!-Basic
Decision Making with Programming: Build a Number Guessing Game!!-Basic
9. Build a Number Guessing Game!!-Advanced
Decision Making with Programming: Build a Number Guessing Game!!-Advanced
10. OPTIONAL:Build a Number Guessing Game!!-(More) Advanced
Decision Making with Programming: OPTIONAL:Build a Number Guessing Game!!-(More) Advanced
11. Conclusion to Section 3
Decision Making with Programming: Conclusion to Section 3
4. Graphics with Python

1. Working With Graphics in Python
Graphics with Python: Working With Graphics in Python
2. Draw a Square
Graphics with Python: Draw a Square
3. The Idea Behind Angles
Graphics with Python: The Idea Behind Angles
4. Draw a Rectangle Using Loops
Graphics with Python: Draw a Rectangle Using Loops
5. Create a Rectangle Function
Graphics with Python: Create a Rectangle Function
6. Code Along1: Draw an Equilateral Triangle
Graphics with Python: Code Along1: Draw an Equilateral Triangle
7. Code Along2: Draw an Equilateral Triangle With Loops
Graphics with Python: Code Along2: Draw an Equilateral Triangle With Loops
8. Code an Irregular Shape: Start a Snowflake
Graphics with Python: Code an Irregular Shape: Start a Snowflake
9. Snowflakes!!
Unsupervised Learning in Python: Hierarchical Clustering-practical
10. Conclusions to Section 4
Graphics with Python: Conclusions to Section 4
5. GUI Programming with Python

1. Start with GUIs in Python
GUI Programming with Python: Start with GUIs in Python
2. Create a Simple Button With tkinter
GUI Programming with Python: Create a Simple Button With tkinter
3. Add Functionality to the Button
GUI Programming with Python: Add Functionality to the Button
4. The Tkinter Grid
GUI Programming with Python: The Tkinter Grid
5. Common Tkinter GUI Widgets
GUI Programming with Python: Common Tkinter GUI Widgets
6. Canvas for Drawing-part1
GUI Programming with Python: Canvas for Drawing-part1
7. Canvas for Drawing-part2
GUI Programming with Python: Canvas for Drawing-part2
8. Simple Expression Evaluator
GUI Programming with Python: Simple Expression Evaluator
9. Start With the Temperature Conversion App
GUI Programming with Python: Start With the Temperature Conversion App
10. Complete the App-1
GUI Programming with Python: Complete the App-1
11. Complete the App-2
GUI Programming with Python: Complete the App-2

Learn Python programming by developing robust GUIs and games

Project-Based Python Programming For Kids and Beginners

London

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    <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
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<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>
 

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				<li>Python Course Notes</li>
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				<li>After the course: 1-Hour personalised online revision session</li>
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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
 

PCWorkshops

Data Science

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

<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

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					<div><p><span>Are you looking to secure a career in Python programming or software engineering?</span></p><p><span>The</span><b> Python Programming</b><span> course will take you from beginner to expert in this programming language in no time, with step-by-step instructor-led guidance. Through audiovisual training, you will develop your data analysis, programming and coding skills, learning how to perform a wide range of tasks. It will teach you how to get set up on Mac OS X, Linux, and Ubuntu, best practices for string formatting, handling exceptions, and much more.</span></p><p><span>This course is open to anyone who wants to learn Python programming from the basics to an advanced level. Enrol as a part-time or full-time student today and gain the skills to become a Python programming pro.</span></p></div>
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					<div><p>This best selling <strong>Python Programming </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>Python Programming </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The <strong>Python Programming </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>Python Programming </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the<strong> Python Programming</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>Python Programming </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the <strong>Python Programming </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Overview
Are you looking to secure a career in Python programming or software engineering?
The Python Programming course will take you from beginner to expert in this programming language in no time, with step-by-step instructor-led guidance. Through audiovisual training, you will develop your data analysis, programming and coding skills, learning how to perform a wide range of tasks. It will teach you how to get set up on Mac OS X, Linux, and Ubuntu, best practices for string formatting, handling exceptions, and much more.
This course is open to anyone who wants to learn Python programming from the basics to an advanced level. Enrol as a part-time or full-time student today and gain the skills to become a Python programming pro.
This best selling Python Programming has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Python Programming is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The Python Programming is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Python Programming is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the Python Programming, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Python Programming will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the Python Programming to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. 
Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Course Cloud

<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.

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					<div><p>Basic Python 3.9  has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the course today, and learn from the very best the industry has to offer!</p></div>
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					<div><p>This best selling Basic Python 3.9  has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth course is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The Basic Python 3.9  is CPD-accredited, so you can be confident you're completing a quality training course which will boost your CV and enhance your career potential. This course is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the Basic Python 3.9 , you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Basic Python 3.9  will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the Basic Python 3.9  to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.</p></div>
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Basic Python 3.9 has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the course today, and learn from the very best the industry has to offer!
This best selling Basic Python 3.9 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth course is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The Basic Python 3.9 is CPD-accredited, so you can be confident you're completing a quality training course which will boost your CV and enhance your career potential. This course is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the Basic Python 3.9 , you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Basic Python 3.9 will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the Basic Python 3.9 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.

Basic Python 3.9

<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> 

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	                     <h5>Python Beginners Course Materials</h5>
	                  </div>

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	                     <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="eventbrite-widget-container-48024956939"></div>

							

							
							 
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	                     <h5>About us</h5>
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					    		<div>
					    			
					    			<h5>Our experienced trainers are award winners. </h5> 
					    			<ul>
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											More about us
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											FAQ's
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											Client Comments  
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									 </ul>
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					    </article>						
	               </div>
				   
				   
	            </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

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

<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

Network

Networking

Cisco

This course is an excellent resource to learn network programming using Python. With the help of practical examples, you will learn how to automate networks with Telnet, Secure Shell (SSH), Paramiko, Netmiko, and Network Automation and Programmability Abstraction Layer with Multivendor support (NAPALM).

Python Network Programming for Network Engineers (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

939 Courses

Learn Python 3 from Scratch

By Packt

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