# jobbole/awesome-python-books

如果有人让你推荐 Python 技术书，请让他看这个列表

Repository: https://github.com/jobbole/awesome-python-books
Canonical: https://ross.abutalabs.com/products/jobbole-awesome-python-books
License Family: other
Last push: 2020-01-02T08:19:17+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3708, "days_push": 2435, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1341, forks 357 (observed 2026-08-28T04:04:26.106681+00:00)

## What it is
A curated awesome-list of recommended Python technical books, organized by skill level (beginner, intermediate, advanced) with community votes and Douban ratings. It is a Chinese-language reading guide rather than software.

## Use cases
- find the best python books for beginners
- recommend a python book to a friend
- discover classic python programming books
- find books for learning data analysis with python
- get community-rated python learning resources

## When to choose
- you want curated, community-vetted Python book recommendations
- you are a beginner looking for a structured reading path
- you prefer Chinese-language book reviews and ratings

## When to avoid
- you need executable code or a library
- you want up-to-date book lists covering recent Python versions
- you need English-only resources

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: programming-languages, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, python-books, curated-list, book-recommendations

## Member repositories
- jobbole/awesome-python-books (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:26.106681+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 2026-08-30T04:43:44.946173+00:00, confidence not recorded.
  - readme: https://github.com/jobbole/awesome-python-books (fetched 2026-08-28T04:04:26.106681+00:00, sha ca41a84bfd69)
- Data as of 2026-08-30T08:39:29.467469+00:00.