# sjsdfg/CS-Notes-PDF

https://github.com/CyC2018/CS-Notes PDF版本离线阅读

Repository: https://github.com/sjsdfg/CS-Notes-PDF
Canonical: https://ross.abutalabs.com/products/cs-notes-pdf
License Family: other
Topics: coding-interviews
Last push: 2025-02-22T10:30:53+00:00

## Health v2 (maintenance only)
Score: 26/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 8, release rhythm 8, longevity 100
- inputs: {"age_days": 2989, "days_push": 557, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2614, forks 766 (observed 2026-08-28T04:07:04.543551+00:00)

## What it is
A PDF distribution of the popular CyC2018/CS-Notes Chinese computer science interview notes, covering algorithms, operating systems, networking, databases, Java, and system design. It exists to provide offline reading with better PDF formatting than the original GitBook export.

## Use cases
- prepare for coding interviews offline
- download CS-Notes as PDF
- study algorithms and system design notes in Chinese
- read computer science interview notes on an e-reader
- review operating systems and networking fundamentals before interviews

## When to choose
- you want the full CS-Notes content as a single well-formatted PDF for offline study
- you are preparing for Chinese tech company coding interviews

## When to avoid
- you need up-to-date notes, since the project is no longer maintained and the original repo now provides its own PDFs
- you prefer reading the latest online version of CS-Notes

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: documentation, pdf
- domain: education, developer-tools, tutorials
- platform: cross-platform
- tags: coding-interviews, pdf-notes, offline-reading, computer-science, chinese

## Member repositories
- sjsdfg/CS-Notes-PDF (main) score 26

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:04.543551+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 2026-08-30T02:20:35.225440+00:00, confidence not recorded.
  - readme: https://github.com/sjsdfg/CS-Notes-PDF (fetched 2026-08-28T04:07:04.543551+00:00, sha f9697c84ad3b)
- Data as of 2026-08-30T08:39:29.467469+00:00.