Introduction to Python

Start your journey into the world of Python programming. Define fundamental terms and understand Python's logical structure. Learn how to declare and use variables to store different types of data.

Learn the fundamentals of Boolean logic and numeric operations in Python. Explore Boolean operators, relational operators, type casting, I/O operations, and limitations of floating-point numbers.

Master the art of decision-making and repetition in Python. Explore conditional statements like if, elif, and else to create branching logic in your programs.

Explore fundamental Python data structures like lists, tuples, and dictionaries. Learn to create, manipulate, and iterate over lists, understanding indexing, slicing, and list comprehensions.

Explore functions and function handling. You'll learn to break complex problems into smaller, reusable functions.

Explore Python's exception handling mechanism, common exception types, and how to handle them using try-except blocks. Learn advanced techniques like propagating and delegating exceptions.

Master Python modules and packages: import, organize, and create reusable code, use built-in modules, build your own, manage namespaces, and structure large applications effectively.

Discover Python exceptions: handle errors with try/except, build custom exception classes, use exception hierarchies, and design robust, maintainable error-handling strategies.

Explore Python strings: their encoding, code points, immutability, slicing, searching, and built-in methods for powerful and reliable text processing in real-world scenarios.

Learn object-oriented programming: design software with classes, objects, encapsulation, inheritance, variables, methods, and privacy to build maintainable, scalable, and robust Python applications.

Explore Python class structure and hierarchy, using metadata and isinstance() to understand inheritance, relationships, and type checking in object-oriented programming.

Explore Python list comprehensions, lambda functions, closures, and input/output operations to write concise and efficient code.

Discover GitHub Copilot: what it is, how it enhances coding, practical uses, setup in VSCode, and best practices for using AI coding assistants effectively.

Learn to use GitHub Copilot for development with effective prompting, code completion, chat, edit, agent modes, and test generation to boost productivity in your coding workflow.

Learn advanced Copilot techniques: manage context, use @/# mentions, instruction and prompt files, chat history, model selection, and tips for efficient coding workflows.