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With the rise of machine learning applications in recent years, demand for python programmers continues to grow correspondingly.

With the rise of machine learning applications in recent years, demand for python programmers continues to grow correspondingly.

Learning Outcomes Learn the basics of Python and the simple Python syntax Acquire in-depth knowledge of different data types Know more about various number types Enhance your understanding of functions objects and variadic functions Increase your skills in lambda, generators, classes and many more Equip yourself with the necessary skills in Python and launch your career as a programmer Description Python is one of the most popular programming languages all over the globe, including in the UK. So, whether you want to be a web developer or a software engineer, without having excellent expertise in Python you can not thrive in your respective field. Are you worried to start from the beginning? Then don't worry, the Python 3 for Beginners course will educate you on basic-level Python programming. This course will provide you with a detailed understanding of Python language. In this comprehensive training, you will learn about different data types and simple Python syntax. The course will also educate you on functions objects and variadic functions. Furthermore, you will grasp a clear understanding of object initialization, lambda and much more. Therefore, sign up for our most user-friendly, easy-to-digest and flexible course and complete it to get the CPD- certificate of achievement. This certificate will help you grab the attention of employers. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post. Method of Assessment When you are done with your learning, you will get some assessment questions that need to pass with a score of 60%. After submitting the assessment, you will immediately receive feedback from our experts.  Career path After completing this course, you will get the chance to explore jobs in the following fields: Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst

About Course Master the Fundamentals of Programming with Python Course Description Embark on an exciting journey into the world of programming with this comprehensive Python course, designed to equip you with the essential skills and knowledge to become a proficient Python programmer. Whether you're a complete beginner or seeking to enhance your existing Python skills, this course caters to all levels of expertise. What will be discussed in detail? Introduction to Python: Delve into the basics of Python programming, including variables, data types, operators, and control flow statements. Working with Data Types: Explore the fundamental data types in Python, including numbers, strings, booleans, and lists. Python Strings: Master the art of manipulating strings, including slicing, concatenation, and string formatting techniques. Python Lists: Discover the power of lists, one of Python's most versatile data structures, and learn how to create, access, modify, and iterate over lists. Python Casting and Input: Understand the concept of type casting and learn how to take user input from the console. Python Dictionary: Uncover the usefulness of dictionaries, another essential data structure in Python, and learn how to store and retrieve data using key-value pairs. Python Date and Time: Learn how to handle date and time operations in Python, including creating, formatting, and manipulating date and time objects. Python Loop Part 1: Master the 'for' loop, a fundamental looping construct in Python, to iterate over sequences and perform repetitive tasks. Python Loop Part 2: Expand your understanding of loops by exploring the 'while' loop, used to execute a block of code repeatedly while a condition remains true. Creating a Function: Discover the power of functions, reusable blocks of code that perform specific tasks, and learn how to define, call, and pass arguments to functions. Python OOP Part 1: Delve into the world of Object-Oriented Programming (OOP) with Python, and learn the concepts of classes, objects, inheritance, and polymorphism. Python OOP Part 2: Enhance your OOP skills by exploring advanced concepts such as abstract classes, multiple inheritance, and operator overloading. Python Advanced OOP Part 1: Discover more advanced OOP techniques, including class methods, static methods, and decorators. Python Advanced OOP Part 2: Master the concept of exception handling, a crucial aspect of robust programming, and learn how to handle errors and exceptions effectively. Error Handling: Understand the importance of error handling in Python programming and learn how to identify, handle, and prevent errors. Python File Handling: Learn how to read, write, and manipulate files in Python, enabling you to store and retrieve data from external sources. Python Modules: Explore the concept of modules, reusable code libraries, and discover how to import, use, and create your own modules. Why should you enroll into it? Gain a comprehensive understanding of Python programming: Master the fundamentals of Python programming, from basic syntax to advanced OOP concepts. Develop practical coding skills: Apply your theoretical knowledge to hands-on coding exercises, solidifying your understanding and building your confidence. Prepare for a career in programming: Equip yourself with the essential skills required for entry-level programming positions. Enhance your problem-solving abilities: Learn to think algorithmically and develop effective problem-solving techniques using Python programming. Expand your skillset and knowledge: Whether you're a beginner or an experienced programmer, this course will broaden your understanding of Python and its capabilities. What will be taught? (Learning Outcomes/Learning Objectives) Understand the fundamental concepts of Python programming Work with different data types, including numbers, strings, lists, dictionaries, and Booleans Master control flow statements such as 'if', 'elif', and 'else' Create and manipulate Python functions Implement Object-Oriented Programming (OOP) concepts using classes, objects, inheritance, and polymorphism Handle errors and exceptions effectively Read, write, and manipulate files in Python Import, use, and create Python modules What Will You Learn? Understand the fundamental concepts of Python programming Work with different data types, including numbers, strings, lists, dictionaries, and Booleans Master control flow statements such as 'if', 'elif', and 'else' Create and manipulate Python functions Implement Object-Oriented Programming (OOP) concepts using classes, objects, inheritance, and polymorphism Handle errors and exceptions effectively Read, write, and manipulate files in Python Import, use, and create Python modules Course Content Introduction to Python Introduction to Python Working with Data Types Working with Data Types Python Strings Python Strings Python List Python List Python Casting and Input Python Casting and Input Python Dictionary Python Dictionary Python Date and Time Python Date and Time Python Loop (Part - 1) Python Loop (Part - 1) Python Loop (Part - 2) Python Loop (Part - 2) Python While Loop Python While Loop Creating a Function Creating a Function Python OOP (Part - 1) Python OOP (Part - 1) Python OOP (Part - 2) Python OOP (Part - 2) Python Advanced OOP (Part - 1) Python Advanced OOP (Part - 1) Python Advanced OOP (Part - 2) Python Advanced OOP (Part - 2) Error Handling Error Handling Python File Handling Python File Handling Python Modules Python Modules A course by Uditha Bandara Microsoft Most Valuable Professional (MVP) RequirementsA basic understanding of computers and operating systemsA willingness to learn and practice codingA computer with internet access and the ability to install Python Audience Beginners with no prior programming experience Programmers seeking to transition to Python Individuals looking to enhance their programming skills and knowledge Anyone interested in pursuing a career in programming Audience Beginners with no prior programming experience Programmers seeking to transition to Python Individuals looking to enhance their programming skills and knowledge Anyone interested in pursuing a career in programming

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

About Course Building Web Applications with Django and PostgreSQL: Master the Complete Stack Learn to build modern and robust web applications with one of the most popular and powerful tech stacks: Django and PostgreSQL. In this comprehensive course, you will learn: The fundamentals of Django, including setting up a development environment, creating models, views, and templates, and handling user authentication and authorization. How to work with Django's built-in admin interface and form files. Advanced topics, such as working with Django's ORM (Object-Relational Mapping) to interact with the PostgreSQL database, handling form submissions, and integrating third-party libraries. Best practices for structuring Django projects, handling user sessions, and securing your web applications against common web vulnerabilities. You will also gain hands-on experience in using PostgreSQL as your database backend, including: Designing database schemas Performing CRUD (Create, Read, Update, Delete) operations Optimizing database performance Throughout the course, you will work on practical projects that will allow you to apply the concepts you've learned and build real-world web applications. By the end of this course, you will be able to: Create dynamic and interactive web applications with Django and PostgreSQL. Build secure, scalable, and maintainable web applications. Become a skilled and proficient web developer. This course is perfect for: Beginners who want to learn how to build web applications from scratch. Experienced web developers who want to learn how to use Django and PostgreSQL. Anyone who wants to learn how to build modern and robust web applications. Enroll today and start your journey to becoming a Django and PostgreSQL expert! Bonus: Get access to the instructor's personal collection of Django and PostgreSQL resources. Why learn Django and PostgreSQL? Django and PostgreSQL are two of the most popular and powerful technologies for building web applications. Django is a popular web framework written in Python that allows developers to build robust and scalable web applications quickly and efficiently. PostgreSQL is a powerful open-source relational database management system known for its reliability and performance. Learning Django and PostgreSQL will give you a significant advantage in the job market and allow you to build more complex and sophisticated web applications. Here are some of the benefits of learning Django and PostgreSQL: Django is a popular web framework with a large and active community. This means that there is a wealth of resources available to help you learn Django and get help when you need it. Django is a powerful and versatile web framework that can be used to build a wide variety of web applications, from simple websites to complex e-commerce platforms. PostgreSQL is a powerful and reliable database management system that is known for its performance and scalability. PostgreSQL is also an open-source database, which means that it is free to use and distribute. So what are you waiting for? Enroll in this course today and start your journey to becoming a Django and PostgreSQL expert! What Will You Learn? Comprehensive coverage of Django web framework and PostgreSQL database Practical projects to apply concepts learned Hands-on experience with PostgreSQL as a database backend Best practices for structuring Django projects and securing web applications In-depth understanding of Django's ORM for database interactions Integration of third-party libraries and Import Real-world examples and use cases Course Content Getting Started Introduction Getting started on Windows, MacOS, and Linux How to Ask Great Questions FAQs Setting Up a Python Development Installing Python Installing PyCharm IDE for Development Creating the first Python Project Write and Run Hello World Program Command Line Basics Installation and Access Pip Command Django Setting Up the Project Introduction to Web Framework and Django Installing Django and Setting Up a Project Understanding Django Architecture and Structured Creating a Simple Django App Building a Django App with PostgreSQL Introduction to PostgreSQL and its Advantages for Web Applications Installing PostgreSQL and Setting Up a Database pgAdmin Secure Login and Create Database Connection Django to PostgreSQL Creating a Basic HTTP View Method Request URL Pattern on App Include Apps to Project URLs Installing the Psycopg2 Module for DB Connection Django Models and ORM (Object Relational Mapping) Defining Models and Creating Database Tables Using Djangos Built-in ORM to Interact with the Database Migration to Create DB Tables Assessment Test Solution for an Assessment Test Working with Admin Module Creating Superuser as Admin Authentication and Authorization User Access Permissions Registering User Models to the Admin Dashboard Creating Data Using CRUD Functionality View Data on the PostgreSQL Database Table Django Views and Templates Understanding the MVC - MVT Creating Views and Handling HTTP Requests and Rendering Templates Creating a Template with HTML Page Building Dynamic Form and Handling Django Form Design Creating Bootstrap Template Applying Bootstrap to Django Form Creating Stunning Product Card items Django Project: Registration form - Real world Creating Model Creating Forms Creating Views Applying ORM - Migrations Creating My Form Template Adding URLs Creating Success_View Template Project URLs Update and Adding Installed Apps Run Project and Submit Data to Database Django Reports Creating Report_View Method Creating Report_Template Update URLs Pattern Run Project and Test Reports Course Resources Course Resources A course by Sekhar Metla IT Industry Expert Material Includes Download Resources and Reference Project Source Code Django to PostgreSQL database connection Project Settings file RequirementsBasic knowledge of Python programmingUnderstanding of relational databases and SQL - optionalFamiliarity with web development concepts (HTML, CSS, and JavaScript) - optional Audience Beginners Python Django developers curious about web application development Web developers who want to learn how to build web applications using Django and PostgreSQL Python developers who want to expand their skillset to web development Students or professionals looking to enhance their web development skills with Django and PostgreSQL. Requirements Basic knowledge of Python programming Understanding of relational databases and SQL - optional Familiarity with web development concepts (HTML, CSS, and JavaScript) - optional

Duration 3 Days 18 CPD hours This course is intended for This course is appropriate for advanced users, system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts. Students can apply the course skills to use Python in basic web development projects or automate or simplify common tasks with the use of Python scripts. Overview This skills-focused course is about 50% hands-on lab to lecture ratio, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert instructor, you'll learn how to: Create working Python scripts following best practices Use python data types appropriately Read and write files with both text and binary data Search and replace text with regular expressions Work with with the standard library and its work-saving modules Create 'real-world', professional Python applications Know when to use collections such as lists, dictionaries, and sets Work with Pythonic features such as comprehensions and iterators Write robust code using exception handling Introduction to Python Programming Basics is a hands-on Python programming course that teaches you the key skills you?ll need to get started with programming in Python to a solid foundational level. The start of the course will lead you through writing and running basic Python scripts, and then guide you through how to use more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This course provides you with an excellent kick start for users new to Python and scripting, enabling you to quickly use basic Python skills on the job in a variety of ways. You?ll be able use Python in basic web development projects, or use it to automate or simplify common tasks with the use of Python scripts. The course also serves as a solid primer course / foundation for continued Python study in support for next level web development with Python, using Python in DevOps, Python for data science / machine learning or Python for systems admin or networking support. Python Quick View What is Python? Python timeline Advantages/disadvantages Installing Python Getting help The Python Environment Starting Python Using the interpreter Running a Python script Editors and IDEs Getting Started with Python Using variables Builtin functions String data Numberic data Converting types Console input/output Command line parameters Flow Control About flow control The if statement Relational and Boolean operators while loops Exiting from loops Array Types About array types Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions and generators Working with Files File overview Opening a text file Reading a text file Writing to a text file Dictionaries and Sets About dictionaries Creating dictionaries Iterating through a dictionary About sets Creating sets Working with sets Functions Defining functions Returning values Parameters and arguments Variable scope Sorting The sorted() function Custom sort keys Lambda functions Sorting in reverse Using min() and max() Errors and Exception Handling Exceptions Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages Creating Modules The import statement Module search path Using packages Function and module aliases Getting Started with Object Oriented Programming and Classes About object-oriented programming Defining classes Constructors Understanding self Properties Instance Methods and data Class methods and data Inheritance Additional course details: Nexus Humans Introduction to Python Programming Basics (TTPS4800) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Introduction to Python Programming Basics (TTPS4800) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their Python proficiencies. Overview In this course, students will expand their Python proficiencies. Students will: Create object-oriented Python applications. Design and create a GUI. Store data in a database from Python applications. Communicate using client/server network protocols. Manage multiple processes with threading. Implement unit testing. Package an application for distribution. Students will build upon basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, threading, unit testing, and creating and installing packages. Usinig Object-Oriented Python Create and Use Classes in an Application Use Magic Methods Incorporate Class Factories Creating a GUI Design a GUI Create and Arrange a GUI Layout Interact with User Events Using Databases Basics of Data Management Use SQLite Databases Manipulate SQL Data Network Programming Basics of Network Programming Create a Client/Server Program Managing Multiple Processes with Threading Create a Threaded Application Manage Thread Resources Implementing Unit Testing Test-Driven Development Write and Run a Unit Test Case Create a Test Suite Packaging an Application for Distribution Create a Package Structure Generate the Package Distribution Files Generate a Windows Executable Additional course details: Nexus Humans Python Programming - Advanced training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Python Programming - Advanced course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This introductory-level Python course is geared for experienced users who want to use Python in web development projects, or system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts. Basic familiarity with any programming or scripting language would be helpful, along with a working, user-level knowledge of Unix/Linux, Mac, or Windows. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to write essential Python scripts using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Create working Python scripts following best practices Use python data types appropriately Read and write files with both text and binary data Search and replace text with regular expressions Get familiar with the standard library and its work-saving modules Use lesser known but powerful Python data types Create 'real-world', professional Python applications Work with dates, times, and calendars Know when to use collections such as lists, dictionaries, and sets Understand Pythonic features such as comprehensions and iterators Write robust code using exception handling Mastering Python Programming is an introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This comprehensive, practical course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world. An overview of Python What is python? Python Timeline Advantages/Disadvantages of Python Getting help with pydoc The Python Environment Starting Python Using the interpreter Running a Python script Python scripts on Unix/Windows Editors and IDEs Getting Started Using variables Builtin functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control White space Conditional expressions Relational and Boolean operators While loops Alternate loop exits Array types About array types (AKA sequences) Lists and list methods Tuples Indexing and slicing Iterating through a sequence Nested sequences Sequence functions, keywords, and operators List comprehensions Generator Expressions Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Converting binary data with struct Dictionaries and Sets About dictionaries Creating dictionaries Iterating through a dictionary About sets Creating sets Working with sets Functions Defining functions Parameters Global and local scope Nested functions Returning values Sorting The sorted() function Alternate keys Lambda functions Sorting collections Using operator.itemgetter() Reverse sorting Errors and Exception Handling Syntax errors Exceptions Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages The import statement Module search path Creating Modules Using packages Function and Module aliases An Introduction to Python Classes About o-o programming Defining classes Constructors Methods Instance data Properties Class methods and data Regular Expressions RE syntax overview RE Objects Searching and matching Compilation flags Groups and special groups Replacing text Splitting strings Using the Standard Library The sys module Launching external programs Math functions Random numbers Reading CSV data Dates and Times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Working with the File System Paths, directories, and filenames Checking for existence Permissions and other file attributes Walking directory trees Creating filters with fileinput Using shutil for file operations Advanced Data Handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Network Programming Using requests Grabbing web content Sending email Using SSH for remote access Using FTP Writing real-life applications Reading input files a la Unix Parsing command-line options Detecting the current platform Implementing logging Additional course details: Nexus Humans Mastering Python Programming (TTPS4820) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Mastering Python Programming (TTPS4820) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for This course is designed for people who want to learn the Python programming language in preparation for using Python to develop software for a wide range of applications, such as data science, machine learning, artificial intelligence, and web development. Overview In this course, you will develop simple command-line programs in Python. You will: Set up Python and develop a simple application. Declare and perform operations on simple data types, including strings, numbers, and dates. Declare and perform operations on data structures, including lists, ranges, tuples, dictionaries, and sets. Write conditional statements and loops. Define and use functions, classes, and modules. Manage files and directories through code. Deal with exceptions. Though Python has been in use for nearly thirty years, it has become one of the most popular languages for software development, particularly within the fields of data science, machine learning, artificial intelligence, and web development?all areas in which Python is widely used. Whether you're relatively new to programming, or have experience in other programming languages, this course will provide you with a comprehensive first exposure to the Python programming language that can provide you with a quick start in Python, or as the foundation for further learning. You will learn elements of the Python 3 language and development strategies by creating a complete program that performs a wide range of operations on a variety of data types, structures, and objects, implements program logic through conditional statements and loops, structures code for reusability through functions, classes, and modules, reads and writes files, and handles error conditions. Lesson 1: Setting Up Python and Developing a Simple Application Topic A: Set Up the Development Environment Topic B: Write Python Statements Topic C: Create a Python Application Topic D: Prevent Errors Lesson 2: Processing Simple Data Types Topic A: Process Strings and Integers Topic B: Process Decimals, Floats, and Mixed Number Types Lesson 3: Processing Data Structures Topic A: Process Ordered Data Structures Topic B: Process Unordered Data Structures Lesson 4: Writing Conditional Statements and Loops in Python Topic A: Write a Conditional Statement Topic B: Write a Loop Lesson 5: Structuring Code for Reuse Topic A: Define and Call a Function Topic B: Define and Instantiate a Class Topic C: Import and Use a Module Lesson 6: Writing Code to Process Files and Directories Topic A: Write to a Text File Topic B: Read from a Text File Topic C: Get the Contents of a Directory Topic D: Manage Files and Directories Lesson 7: Dealing with Exceptions Topic A: Handle Exceptions Topic B: Raise Exceptions