# baochuquan/Books

自己收集的一些电子书籍

Repository: https://github.com/baochuquan/Books
Canonical: https://ross.abutalabs.com/products/baochuquan-books
License Family: other
Last push: 2022-10-06T15:10:52+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": 2885, "days_push": 1427, "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 1034, forks 412 (observed 2026-08-28T04:03:18.635660+00:00)

## What it is
A curated collection of electronic books (mostly Chinese-language and translated technical titles) covering computer science, programming languages, algorithms, networking, operating systems, machine learning, and more. It is a personal reading repository rather than software, organized as a directory of book files.

## Use cases
- find free pdf books on computer science topics
- download classic programming books like CSAPP or SICP
- build a personal technical reading list
- get Chinese-language ebooks on Linux and networking
- study machine learning and deep learning from textbooks
- prepare for coding interviews with algorithm books

## When to choose
- you want a broad, curated set of technical ebooks in one place
- you prefer Chinese-language or translated editions of CS classics
- you need offline copies of well-known textbooks for self-study

## When to avoid
- you need legally licensed or up-to-date editions of copyrighted books
- you want interactive tutorials or courses rather than static book files
- you require software, code, or tooling rather than reading material

## Facets
- artifact type: dataset
- maturity: maintenance
- function: developer-tools, documentation
- domain: developer-tools, tutorials, awesome-lists, programming-languages
- platform: cross-platform
- tags: ebooks, book-collection, pdf-books, chinese-books, computer-science, reading-list

## Member repositories
- baochuquan/Books (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:18.635660+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 2026-08-30T07:06:31.750977+00:00, confidence not recorded.
  - readme: https://github.com/baochuquan/Books (fetched 2026-08-28T04:03:18.635660+00:00, sha 5a3dd1be8fbb)
- Data as of 2026-08-30T08:39:29.467469+00:00.