# yidao620c/python3-cookbook

《Python Cookbook》 3rd Edition Translation

Repository: https://github.com/yidao620c/python3-cookbook
Canonical: https://ross.abutalabs.com/products/python3-cookbook
Language: Jupyter Notebook
License Family: other
Topics: python, python3, python3-cookbook, readthedocs
Last push: 2024-07-24T09:23:14+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4397, "days_push": 770, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 12015, forks 2926 (observed 2026-08-28T04:10:50.675566+00:00)

## What it is
A Chinese translation of the 'Python Cookbook' 3rd Edition by David Beazley, hosted on Read the Docs and built with Sphinx. It includes all example source code tested on Python 3.6, with PDF downloads available.

## Use cases
- learn Python 3 idioms and recipes in Chinese
- find solutions to common Python 3 programming tasks
- read Python Cookbook 3rd edition online for free
- study Python 3 examples with runnable source code
- download a Chinese PDF of Python Cookbook 3rd edition

## When to choose
- you prefer reading technical books in Chinese
- you want practical, recipe-style Python 3 solutions
- you need a free online reference for Python 3 idioms

## When to avoid
- you need the original English text
- you need coverage of Python 2
- you need a maintained tutorial with active updates

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: tutorials, programming-languages, education
- platform: python, cross-platform
- tags: python3, cookbook, chinese-translation, sphinx, readthedocs, jupyter-notebook

## Member repositories
- yidao620c/python3-cookbook (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:50.675566+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:14:59.940877+00:00, confidence not recorded.
  - readme: https://github.com/yidao620c/python3-cookbook (fetched 2026-08-28T04:10:50.675566+00:00, sha c74615048eee)
- Data as of 2026-08-30T08:39:29.467469+00:00.