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Python — Interactive Tutorial

A complete Python learning path: five levels from your first program to expert internals. Every lesson has runnable examples, a quiz, and coding challenges — all free.

The whole path

65 of 65 lessons written

Foundations

First Steps
  1. Your First Python Program
  2. Values and Types
  3. Variables
  4. Numbers and Math
  5. Working with Text
  6. Input and Output
Decisions and Repetition
  1. Booleans and Comparisons
  2. Making Decisions with if / elif / else
  3. Repeating with while Loops
  4. for Loops and range()
Collections and Functions
  1. Lists: Your First Collection
  2. Writing Your Own Functions
  3. Reading Errors and Fixing Bugs
  4. Project: Number Guessing Game

Beginner

Core Data Structures
  1. String Methods and Formatting
  2. Lists in Depth
  3. Tuples and Unpacking
  4. Dictionaries
  5. Sets
  6. Loop Patterns: enumerate, zip, and Nesting
Functions and Program Structure
  1. Functions in Depth
  2. List and Dict Comprehensions
  3. Modules and Imports
  4. Standard Library Tour: math, random, string
Files, Errors, and Real Programs
  1. Reading and Writing Files
  2. Handling Errors with Exceptions
  3. Virtual Environments and pip
  4. Debugging Strategies
  5. Project: To-Do List App with File Storage

Intermediate

Object-Oriented Python
  1. Classes and Objects
  2. Inheritance and Polymorphism
  3. Dunder Methods
  4. Dataclasses
Iterators, Generators, and Functional Tools
  1. Iterators and Generators
  2. Closures and Decorators
  3. lambda, map, filter, and functools
Robust Programs
  1. Type Hints
  2. Testing with unittest
  3. Regular Expressions
  4. Working with JSON and CSV
  5. pathlib and datetime
  6. Logging and Error Design
  7. Project: Expense Tracker with Tests

Advanced

The Python Object Model
  1. ABCs and Protocols
  2. Descriptors and Properties
  3. Metaclasses
  4. Context Managers
Concurrency and Performance
  1. Threading
  2. Multiprocessing
  3. Async Programming with asyncio
  4. Profiling and Optimization
  5. Memory Model and Garbage Collection
Advanced Typing and Design
  1. Advanced Type Hints
  2. itertools and functools in Depth
  3. Design Patterns, the Pythonic Way
  4. Project: Async Task Scheduler

Expert

CPython Internals
  1. Bytecode and the dis Module
  2. The Import System
  3. The GIL and Free-Threaded Python
  4. C Extensions and ctypes
Expert Craft
  1. Metaprogramming
  2. Security Best Practices
  3. Building and Publishing Packages
  4. Architecture of Large Python Applications
  5. Capstone: Build a Static Site Generator