# TIM168/technical_books

:books:🔥收集全网最热门的技术书籍 (GO、黑客、Android、计算机原理、人工智能、大数据、机器学习、数据库、PHP、java、架构、消息队列、算法、python、爬虫、操作系统、linux、C语言)，不间断更新中:hotsprings:

Repository: https://github.com/TIM168/technical_books
Canonical: https://ross.abutalabs.com/products/technical_books
Homepage: https://github.com/TIM168/technical_books
Language: HTML
License Family: other
Topics: technical-books, technical, it, books, java, php, go, html, linux, python, http
Last push: 2021-06-07T09:47:51+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2702, "days_push": 1913, "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 3536, forks 751 (observed 2026-08-28T04:08:09.062466+00:00)

## What it is
A curated GitHub collection of popular technical books (mostly PDFs) covering programming languages, AI, databases, algorithms, Linux, and more, primarily in Chinese. It is a link/file repository rather than software.

## Use cases
- find free technical books to download
- learn C++ from classic books
- get programming ebooks in Chinese
- find books on machine learning and big data
- study Linux and operating systems
- collect algorithm and architecture books

## When to choose
- you want a broad, curated set of classic technical ebooks across many topics
- you prefer Chinese-language editions of well-known books

## When to avoid
- you need actively maintained or legally licensed content
- you need software or tools rather than reading material

## Facets
- artifact type: dataset
- maturity: maintenance
- function: documentation
- domain: developer-tools, tutorials, education
- platform: cross-platform
- tags: technical-books, awesome-list, pdf-collection, chinese, learning-resources, programming-books

## Member repositories
- TIM168/technical_books (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:09.062466+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 2026-08-29T18:35:02.355547+00:00, confidence not recorded.
  - readme: https://github.com/TIM168/technical_books (fetched 2026-08-28T04:08:09.062466+00:00, sha 53b667562271)
  - homepage: https://github.com/TIM168/technical_books (fetched 2026-08-29T09:28:46.796146+00:00, sha 00b65b91e20c)
- Data as of 2026-08-30T08:39:29.467469+00:00.