← Back to Python overview

Hand-written tutorials, ordered as a recommended learning path.

1. 21 Modules & Imports A practical guide to Python modules and imports — writing your own modules, import forms, packages, the if __name__ == '__main__' idiom, and avoiding common pitfalls. 9 min read →
2. 22 Classes & Objects A practical introduction to Python classes — defining a class, __init__ and self, instance vs class attributes, methods, __repr__, and a first look at inheritance. 9 min read →
3. 23 Lambda Functions A practical guide to Python lambda functions — syntax, use with sorted, map, and filter, common patterns, and the situations where a named def is the clearer choice. 8 min read →
4. 24 Generators A practical guide to Python iterators and generators — the iterator protocol, yield, generator expressions, memory benefits, and how to model infinite sequences. 10 min read →
5. 25 venv & uv Isolate your Python projects the right way — using the built-in venv module, the new uv tool, and a clear mental model for when to use pipx instead. 7 min read →
6. 26 Packages & pip Install, pin, and publish — a practical tour of pip, PEP 621 pyproject.toml, and building a tiny library you can share on TestPyPI. 7 min read →
7. 27 Concurrency Comparison Compare Python's concurrency models side by side. Learn when to use asyncio, threading, or multiprocessing with practical benchmarks and real-world examples. 10 min read →
8. 28 Environment Management Master Python environment management with venv for virtual environments, pyenv for version switching, and Poetry for dependency management. 9 min read →
9. 29 Match Statement Master Python's match statement with structural pattern matching. Learn literal, sequence, mapping, class, guard, and OR patterns with practical examples. 8 min read →
10. 30 Pydantic v2 Learn Pydantic v2 for data validation, serialization, and settings management in Python. Covers models, validators, computed fields, and BaseSettings. 8 min read →
11. 31 pytest Guide Master pytest from fixtures and parametrize to marks, plugins, and CI integration. Write fast, maintainable Python tests with practical examples. 9 min read →
12. 32 Type Narrowing & Overloads Master Python type narrowing with isinstance, TypeGuard, TypeIs, and use @overload to write precise function signatures that type checkers understand. 9 min read →
13. 33 Python vs Go A practical comparison of Python and Go covering performance, concurrency, type systems, ecosystem, and when each language is the right choice for your project. 9 min read →
14. 34 Walrus Operator := Learn the Python walrus operator (:= assignment expression) with practical examples for loops, comprehensions, conditionals, and when to avoid it. 8 min read →
15. 35 Web Scraping Learn Python web scraping with BeautifulSoup for simple pages, Scrapy for large crawls, and Playwright for JavaScript-rendered content. 8 min read →
16. 36 FastAPI vs Django vs Flask Compare FastAPI, Django, and Flask for Python web development. Understand performance, features, and ecosystem differences to choose the right framework. 8 min read →
17. 37 CLI Tools Compare Python's top CLI frameworks. Build command-line tools with argparse, Click, and Typer, with examples for arguments, options, subcommands, and validation. 8 min read →
18. 38 Descriptors Protocol Learn how Python descriptors work under the hood, powering properties, class methods, and custom attribute access with __get__, __set__, and __delete__. 9 min read →
19. 39 functools Guide Master Python's functools module with practical examples of partial, lru_cache, reduce, singledispatch, cached_property, and wraps. 8 min read →
20. 40 Dynamic Imports Master Python's importlib module for dynamic imports, plugin systems, lazy loading, and runtime module discovery with practical examples. 7 min read →