# qiyuangong/leetcode

Python & JAVA Solutions for Leetcode

Repository: https://github.com/qiyuangong/leetcode
Canonical: https://ross.abutalabs.com/products/qiyuangong-leetcode
Language: Python
License: MIT
License Family: permissive
Last push: 2023-10-03T10:22:10+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3821, "days_push": 1065, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5302, forks 1502 (observed 2026-08-28T04:09:15.327603+00:00)

## What it is
A collection of Python and Java solutions to LeetCode problems, each with a one-line explanation of the core idea. It serves as a reference for practicing algorithm and data structure interview questions.

## Use cases
- prepare for coding interviews with leetcode problems
- find python solutions to leetcode problems
- find java solutions to leetcode problems
- study algorithm techniques with one-line explanations
- compare different approaches to the same problem

## When to choose
- you want reference solutions in Python or Java for LeetCode problems
- you need concise explanations of the core idea behind each solution
- you are preparing for technical interviews

## When to avoid
- you need a full structured interview study curriculum
- you want a general-purpose algorithms library for production use
- you need solutions in languages other than Python or Java

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, programming-languages
- platform: python, jvm
- tags: leetcode, interview-preparation, data-structures, algorithms, solutions, coding-interview

## Member repositories
- qiyuangong/leetcode (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:15.327603+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 2026-08-29T17:59:01.133250+00:00, confidence not recorded.
  - readme: https://github.com/qiyuangong/leetcode (fetched 2026-08-28T04:09:15.327603+00:00, sha f593ab045fae)
- Data as of 2026-08-30T08:39:29.467469+00:00.