Python resources

Introduces fundamental Python concepts, including syntax, variables, and data types.

Explores conditionals, loops, and control flow in Python.

Covers defining and using functions, lambda functions, and importing modules.

Introduces built-in data structures such as lists, tuples, dictionaries, and sets.

Covers OOP concepts such as classes, objects, inheritance, and polymorphism.

Covers reading and writing files, working with CSVs, and managing file objects.

Explores error handling techniques using try-except, finally, and custom exceptions.

Introduces the use of regular expressions for pattern matching and text processing.

Covers essential Python libraries for data science, including NumPy, Pandas, and Matplotlib.

Introduces Python web frameworks such as Django and Flask for building web applications.

Explores how to create and consume RESTful APIs using Python.

Introduces asynchronous programming in Python using async/await, asyncio, and concurrent programming.