# billryan/algorithm-exercise

Data Structure and Algorithm notes. 数据结构与算法/leetcode/lintcode题解/

Repository: https://github.com/billryan/algorithm-exercise
Canonical: https://ross.abutalabs.com/products/algorithm-exercise
Homepage: https://algorithm.yuanbin.me
Language: Python
License Family: other
Topics: algorithm, gitbook, leetcode
Last push: 2022-07-28T13:16:24+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4182, "days_push": 1497, "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 3487, forks 870 (observed 2026-08-28T04:08:07.062440+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: education, tutorials
- platform: -
- tags: leetcode, lintcode, data-structures, interview-preparation, gitbook, chinese, algorithms, web-server

## Member repositories
- billryan/algorithm-exercise (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:07.062440+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 2026-08-29T18:36:07.678473+00:00, confidence not recorded.
  - readme: https://github.com/billryan/algorithm-exercise (fetched 2026-08-28T04:08:07.062440+00:00, sha a4a1d26d6234)
  - homepage: https://algorithm.yuanbin.me (fetched 2026-08-29T09:30:14.643556+00:00, sha 61733f506dfd)
- Data as of 2026-08-30T08:39:29.467469+00:00.