# azl397985856/leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

Repository: https://github.com/azl397985856/leetcode
Canonical: https://ross.abutalabs.com/products/leetcode
Homepage: https://leetcode-solution-leetcode-pp.gitbook.io/leetcode-solution/
Language: JavaScript
License: NOASSERTION
License Family: other
Topics: algorithm, leetcode, interview, computer-science, cpp, javascript, python, java, data-structures, tree, leetcode-solutions, algorithms, algo, algorithms-datastructures
Last push: 2025-07-16T09:42:17+00:00

## Health v2 (maintenance only)
Score: 37/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 32, release rhythm 8, longevity 100
- inputs: {"age_days": 3078, "days_push": 413, "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 55750, forks 9374 (observed 2026-08-28T04:12:18.419459+00:00)

## What it is
A large curated collection of LeetCode problem solutions with detailed explanations, covering algorithms and data structures in multiple languages (JavaScript, Python, Java, C++). It also includes topic summaries, Anki cards, and a daily problem activity for interview preparation.

## Use cases
- prepare for coding interview algorithm questions
- study data structures and algorithms with worked examples
- find leetcode problem solutions in python or javascript
- review dynamic programming and graph problems before an interview
- learn sliding window and binary search patterns
- memorize algorithm patterns with anki cards

## When to choose
- you are preparing for technical interviews at tech companies
- you want explanations alongside code, not just solutions
- you prefer Chinese-language algorithm tutorials
- you want multi-language reference implementations of classic problems

## When to avoid
- you need a runnable algorithm library for production code
- you want an interactive judge or auto-graded exercises
- you need structured course-style progression with exercises

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, documentation
- domain: education, tutorials
- platform: cross-platform
- tags: leetcode, interview-preparation, data-structures, algorithms, coding-interview, study-guide, anki-cards

## Member repositories
- azl397985856/leetcode (main) score 37

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:18.419459+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 2026-08-29T16:18:49.196239+00:00, confidence not recorded.
  - readme: https://github.com/azl397985856/leetcode (fetched 2026-08-28T04:12:18.419459+00:00, sha 411cfe762dfe)
  - homepage: https://leetcode-solution-leetcode-pp.gitbook.io/leetcode-solution/ (fetched 2026-08-28T18:04:30.877207+00:00, sha 22f5ddb78c4b)
- Data as of 2026-08-30T08:39:29.467469+00:00.