Free Python learning path

Learn Python step by step from your first script to practical, advanced topics

Start with a structured curriculum across three levels, practice in a browser IDE, and move into DSA roadmaps when you are ready. The core learning path is available in both English and Uzbek.

Start lesson 1 Explore learning paths Open Python Lab

44

lessons

2

2 languages

3

3 levels

DSA

roadmaps + IDE

Choose the path that matches your level

Each track fits a different moment — just starting out, getting comfortable, or writing more professional Python.

Beginner

Beginner

If Python is new to you, start here. Build a solid foundation with syntax, variables, conditions, loops, and functions.

Key topics

Variables, data types, operators, conditions, loops, functions

Open beginner track
Intermediate

Intermediate

If you already know the basics, move into this track. Learn modules, files, exceptions, OOP, and practical Python workflows.

Key topics

Modules, file I/O, exception handling, classes/objects, virtual environments

Open intermediate track
Advanced

Advanced

If you already write working Python, go deeper here. Study type hints, decorators, async, testing, and design patterns.

Key topics

Type hints, iterators, context managers, async/await, pytest, FastAPI

Open advanced track

Full curriculum

If you prefer a complete index, all lessons are grouped below by level. Links and URLs remain unchanged.

Beginner

Beginner lessons

The essential concepts you need to read and write everyday Python.

01. Introduction 02. Installation 03. Running 04. Hello World 05. Comments 06. Data Types 07. Variables 08. Operators 09. Conditions 10. Loop 11. Number 12. String 13. F-Strings 14. List 15. List Comprehension 16. Tuple 17. Dictionary 18. Sets 19. Date & Time 20. Functions 21. Lambda
Intermediate

Intermediate lessons

Modules, files, and object-oriented concepts that make your code more practical.

22. Modules 23. File I/O 24. Exception 25. Object & Class 26. Database Access 27. Networking 28. Web Development 29. Regular Expressions (RegEx) 30. Working with JSON Data 31. Virtual Environments (venv) 32. Pip & Package Management
Advanced

Advanced lessons

Professional techniques that help when your codebase or problem space gets more complex.

33. Type Hints 34. Decorators & Closures 35. Iterators & Generators 36. Context Managers 37. Metaprogramming 38. Multithreading & Multiprocessing 39. Async Await 40. Design Patterns 41. Unit Testing 42. Memory Management 43. Pytest Fixtures Deep Dive 44. Cookbook: Building a FastAPI Backend

Bilingual

Learn in two languages

The core Python curriculum is available in both English and Uzbek. Follow the same structure and switch languages whenever it helps your learning.

O'zbek sahifasiga o'tish

Primary path

Begin with the core Python lessons, then branch into DSA or tools when you need practice and depth.

Open source

Everything lives in a public GitHub repo. Spot a typo or a better example? Open an issue or send a pull request.

Next step: Data Structures & Algorithms

This track sits alongside the main Python curriculum. Use it to strengthen algorithmic thinking, prepare for interviews, or build computer science fundamentals.

Roadmaps are the best entry point if you want a guided sequence.