A versatile programming language known for its readability and wide range of applications
Understanding Python's history, features, and why it's a valuable language to learn
Understanding how to store data and work with different data types in Python
Using operators for mathematical, logical, and comparison operations
Working with text data using Python strings
Making decisions in code using if, elif, and else statements
Repeating code execution with for and while loops
Creating reusable code blocks with functions
Working with lists, tuples, dictionaries, and sets
Reading from and writing to files in Python
Handling errors and exceptions in Python programs
Creating classes and objects in Python
Organizing code into modules and packages
Functional programming features in Python
Creating custom iterators and using generators
Asynchronous programming with asyncio
Writing tests and debugging Python code
Essential third-party libraries for data science and numerical computing
Building web applications with Flask and FastAPI
Automating tasks and system scripting with Python
Deploying Python applications and DevOps practices
Data analysis and scientific computing with Python
Introduction to machine learning with Scikit-learn
Introduction to neural networks and deep learning
Python career development and coding best practices