# datawhalechina/leetcode-notes

🐳 LeetCode 算法笔记：面试、刷题、学算法。在线阅读地址：https://datawhalechina.github.io/leetcode-notes/

Repository: https://github.com/datawhalechina/leetcode-notes
Canonical: https://ross.abutalabs.com/products/leetcode-notes
Homepage: https://datawhalechina.github.io/leetcode-notes/
License: NOASSERTION
License Family: other
Topics: leetcode, algorithms, data-structures, interviews, python, python3
Last push: 2025-10-09T12:43:52+00:00

## Health v2 (maintenance only)
Score: 44/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 46, release rhythm 8, longevity 100
- inputs: {"age_days": 1494, "days_push": 328, "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 1145, forks 155 (observed 2026-08-28T04:03:45.607740+00:00)

## What it is
An open-source Chinese-language tutorial book covering algorithms and data structures with detailed explanations of 200+ LeetCode problems and 100 high-frequency interview questions. It is organized into structured study cycles with daily lessons and practice problems, readable online or as PDF.

## Use cases
- prepare for coding interviews with leetcode problems
- learn algorithms and data structures from scratch
- find a structured leetcode study plan
- review high-frequency interview algorithm questions
- practice python solutions to classic algorithm problems

## When to choose
- you are a beginner wanting a systematic, guided path through data structures and algorithms
- you have an upcoming technical interview and need targeted practice on common questions
- you prefer learning with lots of diagrams, examples, and daily exercises

## When to avoid
- you need an interactive coding judge or auto-graded exercises rather than written notes
- you cannot read Chinese, since the content is written in Chinese
- you want advanced competitive-programming topics beyond standard interview material

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: education, tutorials
- platform: cross-platform
- tags: leetcode, interview-preparation, data-structures, algorithms, python, study-guide, open-course, web-server

## Member repositories
- datawhalechina/leetcode-notes (main) score 44

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:45.607740+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 2026-08-30T06:34:29.818371+00:00, confidence not recorded.
  - readme: https://github.com/datawhalechina/leetcode-notes (fetched 2026-08-28T04:03:45.607740+00:00, sha ee676d187fb9)
  - homepage: https://datawhalechina.github.io/leetcode-notes/ (fetched 2026-08-29T12:39:58.439927+00:00, sha 69f1a2f495b6)
- Data as of 2026-08-30T08:39:29.467469+00:00.