Learn Python Fundamentals, Collections, Functions, OOP, Exception Handling and Multithreading
What you'll learn
⚡ Install Python and configure VS Code, PyCharm, Python IDLE, and Jupyter Notebook.
⚡ Write Python programs using variables, data types, operators, strings, and user input.
⚡ Work with lists, tuples, sets, dictionaries, and arrays to store and process data.
⚡ Use conditional statements, loops, functions, and recursion to solve programming problems.
⚡ Apply lambda expressions, higher-order functions, map, filter, reduce, inner functions, and decorators.
⚡ Build object-oriented programs using classes, inheritance, polymorphism, abstraction, and method overriding.
⚡ Handle runtime errors using try, except, specific exceptions, and finally blocks.
⚡ Create and manage threads, understand the Python GIL, and learn when multiprocessing is more suitable.
⚡ Build a strong Python foundation for Generative AI, Agentic AI, machine learning, and backend development.
Requirements
❗ No prior Python or programming experience is required.
Description
Start learning Python from the ground up and build a strong foundation in programming, problem-solving, and software development.
This Python course is designed for beginners who want a clear and structured path into programming. It starts with Python installation and development environment setup, then gradually covers variables, data types, strings, collections, conditional statements, loops, functions, object-oriented programming, exception handling, and multithreading.
You will learn each concept through practical code examples that explain how Python works and why each feature is used. The course follows a logical sequence, helping you build your knowledge step by step without jumping between unrelated topics.
Python is widely used in Artificial Intelligence, Generative AI, Agentic AI, machine learning, data science, automation, and web development. This course builds the core programming foundation you need before working with AI libraries, frameworks, APIs, and agent-based applications.
Whether you are a student, aspiring developer, working professional, or someone learning programming for the first time, this course will help you write clean and reusable Python programs and prepare you for more advanced areas of Python development.
What You Will Learn
By completing this course, you will be able to
✨ Install Python and configure VS Code, PyCharm, Python IDLE, and Jupyter Notebook
✨ Write and execute Python programs
✨ Work with variables, data types, operators, and user input
✨ Create and manipulate strings in Python
✨ Store and manage data using lists, tuples, sets, and dictionaries
✨ Use conditional statements such as if, else, elif, and match
✨ Repeat tasks using for loops and while loops
✨ Control loop execution using break and continue
✨ Create arrays and perform common array operations
✨ Define reusable functions and pass arguments to them
✨ Understand local and global variable scope
✨ Solve problems using recursion
✨ Use lambda expressions and higher-order functions
✨ Process collections using filter(), map(), and reduce()
✨ Create and apply Python decorators
✨ Organize code using modules and packages
✨ Understand the purpose of the __name__ special variable
✨ Applyobject-oriented programming concepts in Python
✨ Create classes and objects
✨ Work with __init__(), __new__(), instance methods, class methods, and static methods
✨ Use inheritance, method overriding, polymorphism, and abstraction
✨ Handle runtime errors using try, except, and finally
✨ Create and manage threads in Python
✨ Understand the Global Interpreter Lock and the role of multiprocessing
Course Content
The course begins with Python setup and an introduction to popular Python development tools. You will write your first Python program and learn how Python performs basic number operations.
You will then explore variables, strings, data types, and operators. After building these fundamentals, you will learn how to work with Python collections such as lists, tuples, sets, and dictionaries, along with arrays and common array operations.
The next part of the course covers decision-making and program flow. You will use conditional statements, loops, nested loops, and flow-control statements to create programs that respond to different inputs and conditions.
You will also learn how functions make programs reusable and easier to maintain. Topics include function arguments, variable scope, factorial programs, recursion, lambda expressions, higher-order functions, inner functions, and decorators.
The object-oriented programming section covers classes, objects, object initialization, inheritance, method resolution order, polymorphism, operator overloading, method overriding, and abstraction.
The final sections introduce exception handling, multithreading, the Python Global Interpreter Lock, and multiprocessing.
Who this course is for
⭐ Complete beginners who want to learn Python programming from scratch.
⭐ Students preparing for programming courses, placements, or technical interviews.
⭐ Java, C, C++, or jаvascript developers who want to move to Python.
⭐ Aspiring software developers and backend developers who need a strong Python foundation.
⭐ Professionals who want to improve their programming and problem-solving skills with Python.
⭐ Learners preparing for Generative AI, Agentic AI, machine learning, data science, automation, or web development.


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