# allentofight/easy-cs

CS，如此简单!

Repository: https://github.com/allentofight/easy-cs
Canonical: https://ross.abutalabs.com/products/easy-cs
License Family: other
Last push: 2024-05-03T12:50:18+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": 2029, "days_push": 852, "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 1443, forks 206 (observed 2026-08-28T04:04:44.872338+00:00)

## What it is
A curated collection of Chinese-language technical articles on computer science fundamentals, covering networking, algorithms, Java, MySQL, distributed systems, and system design. It is a learning resource compiled from a tech blog, aimed at helping developers learn CS concepts and prepare for interviews.

## Use cases
- learn computer science fundamentals like TCP, HTTP, and memory management
- prepare for backend software engineer interviews
- understand Java internals like thread pools, AQS, and garbage collection
- study algorithm techniques such as dynamic programming and recursion
- learn MySQL indexing and SQL optimization
- understand distributed systems concepts like distributed transactions and tracing

## When to choose
- you are a backend developer (especially Java) preparing for interviews
- you prefer in-depth Chinese-language explanations of CS fundamentals
- you want curated articles on networking, algorithms, and system design

## When to avoid
- you need hands-on code projects or runnable software
- you only read English
- you need up-to-date coverage of newer technologies

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: tutorials, developer-tools
- platform: cross-platform
- tags: chinese, interview-preparation, computer-science-fundamentals, blog-articles, backend, computer-science

## Member repositories
- allentofight/easy-cs (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:44.872338+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 2026-08-30T04:36:20.056161+00:00, confidence not recorded.
  - readme: https://github.com/allentofight/easy-cs (fetched 2026-08-28T04:04:44.872338+00:00, sha 9033d233967a)
- Data as of 2026-08-30T08:39:29.467469+00:00.