# niudai/How-to-be-a-good-programmer

I'm here to tell you some amazing stuff which teacher would never tell you.

Repository: https://github.com/niudai/How-to-be-a-good-programmer
Canonical: https://ross.abutalabs.com/products/how-to-be-a-good-programmer
Language: Makefile
License Family: other
Last push: 2022-10-26T02:49:46+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": 2605, "days_push": 1407, "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 4182, forks 691 (observed 2026-08-28T04:08:38.431488+00:00)

## What it is
A curated collection of links to classic computer science textbooks (ebooks) covering math foundations, computer systems, networking, compilers, and more, with Chinese translations and OCR'd, bookmarked scans. It is a learning resource repository rather than software.

## Use cases
- find free computer science textbook downloads
- learn computer systems fundamentals like CSAPP
- find Chinese translations of classic CS books
- build a self-study curriculum for programming
- locate networking and compilers textbooks

## When to choose
- you want curated links to classic CS textbooks
- you prefer Chinese translations with bookmarks and OCR
- you are self-studying computer science fundamentals

## When to avoid
- you need software or code, not reading material
- you require legally licensed ebook distribution
- you need advanced or specialized graduate-level texts

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: education, tutorials, developer-tools, awesome-lists
- platform: cross-platform
- tags: ebooks, computer-science, curated-links, textbooks, self-study

## Member repositories
- niudai/How-to-be-a-good-programmer (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:38.431488+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 2026-08-29T18:22:39.278344+00:00, confidence not recorded.
  - readme: https://github.com/niudai/How-to-be-a-good-programmer (fetched 2026-08-28T04:08:38.431488+00:00, sha 345231fd5617)
- Data as of 2026-08-30T08:39:29.467469+00:00.