Practical, example-driven recipes for the Python standard library and everyday idioms - string/text wrangling, formatting, regex, numbers, the core data structures (list/tuple/set/dict) and comprehensions/itertools, functions, classes, dates/times, modules/imports, files/paths/IO, env vars and argparse, subprocess, serialization (JSON/CSV/pickle/XML/gzip), concurrency, networking, logging, debugging, introspection, CPU/memory profiling, exceptions, testing with pytest/unittest, virtualenvs, packaging, and code quality. Use when the user asks "how do I do X in Python?", needs a stdlib snippet or idiom, is formatting strings/numbers, writing a regex, transforming a dict/list, handling paths/files, parsing CLI args, running a subprocess, reading/writing JSON/CSV, adding logging, profiling slow code, tracking memory, writing tests, pinning dependencies, or packaging a project. Distilled from "Stas' Python Cookbook" open book, the latest version of which can be found at https://github.com/stas00/python-cookbook
Th
2026-07-02