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billryan/algorithm-exercise resource

Data Structure and Algorithm notes. 数据结构与算法/leetcode/lintcode题解/ observed · 2026-08-28

github.com/billryan/algorithm-exercise · homepage · Python observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4182
  • days_rel: n/a
  • days_push: 1497
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3487 stars · 870 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

An open-source GitBook of data structure and algorithm notes with solutions to LeetCode, Lintcode, and similar programming problems, written primarily in Simplified Chinese. It covers basic data structures, problem analysis with complexity analysis, and interview supplements like resume tips.

Use cases

  • prepare for coding interviews with leetcode-style problems
  • learn data structures like linked lists, trees, and sorting
  • find algorithm problem solutions with complexity analysis
  • study algorithms in Chinese
  • review common interview questions before a technical screen

When to choose

  • you want a free, structured algorithm study guide with worked problem solutions
  • you prefer reading in Simplified Chinese
  • you need offline access via ePub, PDF, or MOBI exports

When to avoid

  • you need up-to-date solutions for the latest contest problems
  • you require English-only content, as the English version is rarely updated
  • you need runnable, tested code libraries rather than notes

Facets

learning-resource · maturity maintenance

documentation developer-tools education tutorials leetcode lintcode data-structures interview-preparation gitbook chinese algorithms web-server

2 sources

Member repositories

RepositoryRoleHealth v2
billryan/algorithm-exercisemain23

For agents

markdown · JSON · MCP: product_card(name="billryan/algorithm-exercise")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem