Python in One Month

What's covered

1. 1 · The data model & dunders Every value has three things — an identity, a type, and a value.
2. 2 · Comprehensions & generator expressions One expression that builds a list, dict, or set — transform, filter, and nest in a single readable line.
3. 3 · Closures, scope & decorators A name is resolved L → E → G → B — and a nested function remembers the scope it was born in.
4. 4 · Functional tools itertools & functools
5. 5 · OOP patterns inheritance, MRO & ABCs
6. 6 · Dataclasses & named tuples Annotate the fields — Python writes __init__ , __repr__ & __eq__ for you.
7. 7 · Type hints in practice Hints are documentation a tool can verify — for editors, refactoring & mypy. Python ignores them at runtime.
8. 8 · The essential standard library Four specialised containers that turn five-line idioms into one call .
9. 9 · Pathlib & files A filesystem path is a rich object , not a fragile string — it knows its own parts.
10. 10 · Logging, argparse & CLIs Drop print() for real programs — logging gives you levels, timestamps, and routing you control once at startup.
11. 11 · Concurrency threads, processes & asyncio
12. 12 · Packaging & environments A venv is a private, throw-away copy of Python so each project pins its own dependencies — no global collisions.
13. 13 · Testing with pytest Write a function starting with test_ , use a plain assert , run pytest — that's the whole ritual.
14. 14 · Regex & text processing A regex is a tiny pattern language for text — written as a raw string r"…" so backslashes survive.
15. 15 · Project Codebase Stats (CLI)
16. 16 · Project Concurrent Site Checker
17. 17 · Cheat sheet The working-knowledge tier on two pages — scan, don't read.