# itbooks1024/books-pdf

程序员必看的经典书籍，编程电子书下载，附带pdf下载链接，包括C，C++，Java，Python，Linux，Go，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等

Repository: https://github.com/itbooks1024/books-pdf
Canonical: https://ross.abutalabs.com/products/itbooks1024-books-pdf
License Family: other
Last push: 2021-08-31T02:29:02+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2043, "days_push": 1829, "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 1189, forks 235 (observed 2026-08-28T04:03:55.834046+00:00)

## What it is
A curated collection of ~1024 classic programming e-books (PDF) with Baidu Cloud download links, covering C, C++, Java, Python, Linux, Go, algorithms, AI, databases, frontend, and more. It is a link index rather than software.

## Use cases
- find classic programming books to read
- download programming ebooks as pdf
- get recommended books for learning C++ or Java
- find books on data structures and algorithms
- prepare for programming interviews with book lists
- find design patterns and database books

## When to choose
- you want a curated list of well-regarded programming books with direct download links
- you prefer Chinese-language editions of classic CS books

## When to avoid
- you need actual software or code libraries
- you cannot access Baidu Cloud links
- you need legally distributed or up-to-date ebook sources

## Facets
- artifact type: dataset
- maturity: maintenance
- function: documentation, pdf
- domain: developer-tools, education, programming-languages, tutorials
- platform: cross-platform
- tags: ebooks, pdf-books, curated-list, learning-resources, chinese, baidu-pan-links

## Member repositories
- itbooks1024/books-pdf (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:55.834046+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 2026-08-30T06:23:11.860733+00:00, confidence not recorded.
  - readme: https://github.com/itbooks1024/books-pdf (fetched 2026-08-28T04:03:55.834046+00:00, sha 45dd890d0416)
- Data as of 2026-08-30T08:39:29.467469+00:00.