# yuanguangxin/LeetCode

LeetCode刷题记录与面试整理

Repository: https://github.com/yuanguangxin/LeetCode
Canonical: https://ross.abutalabs.com/products/yuanguangxin-leetcode
Language: Java
License Family: other
Topics: leetcode, leetcode-solutions, leetcode-java, leetcode-classification
Last push: 2025-06-07T10:03:55+00:00

## Health v2 (maintenance only)
Score: 44/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 25, release rhythm 35, longevity 100
- inputs: {"age_days": 2427, "days_push": 452, "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 7476, forks 1855 (observed 2026-08-28T04:10:00.184003+00:00)

## What it is
A curated collection of LeetCode problem solutions written in Java, organized by algorithmic category such as hash tables, linked lists, two pointers, dynamic programming, and backtracking. It also includes interview question notes, making it a study resource for coding interview preparation.

## Use cases
- prepare for coding interviews with categorized leetcode solutions
- study dynamic programming problems with java examples
- review common linked list and two-pointer interview questions
- find java implementations of classic algorithm problems
- practice leetcode problems grouped by technique
- brush up on data structures before a technical interview

## When to choose
- you are preparing for Java-based coding interviews
- you want solutions organized by algorithmic pattern rather than problem number
- you prefer reading worked examples in Java

## When to avoid
- you need solutions in a language other than Java
- you want an interactive judge or automated testing of solutions
- you need guaranteed correctness or maintenance, as the repo has no license

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, documentation
- domain: education, tutorials
- platform: jvm
- tags: leetcode, interview-preparation, coding-interview, data-structures, algorithms, java, solutions, study-notes

## Member repositories
- yuanguangxin/LeetCode (main) score 44

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:00.184003+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 2026-08-29T17:37:36.742476+00:00, confidence not recorded.
  - readme: https://github.com/yuanguangxin/LeetCode (fetched 2026-08-28T04:10:00.184003+00:00, sha 3b3c4066590e)
- Data as of 2026-08-30T08:39:29.467469+00:00.