# selfboot/LeetCode

正确的姿势，学习的态度来刷 LeetCode：高效的代码、简洁的注释、精炼的总结。

Repository: https://github.com/selfboot/LeetCode
Canonical: https://ross.abutalabs.com/products/selfboot-leetcode
Language: Python
License Family: other
Topics: python, leetcode, algorithm
Last push: 2018-12-01T13:19:01+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": 4006, "days_push": 2832, "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 1117, forks 313 (observed 2026-08-28T04:03:38.961561+00:00)

## What it is
A personal collection of LeetCode problem solutions written in Python, with concise comments explaining the approach and key points for each problem. Problems are organized by algorithm category, with summaries of common techniques like backtracking and dynamic programming.

## Use cases
- prepare for coding interviews with leetcode problems
- study python solutions to algorithm problems
- learn common algorithm patterns like backtracking and dynamic programming
- find well-commented reference solutions for leetcode questions
- review categorized summaries of algorithm techniques
- compare multiple approaches to the same problem

## When to choose
- you want readable, commented Python solutions organized by algorithm category
- you are preparing for technical interviews and want reference implementations
- you prefer learning from curated problem summaries rather than raw code

## When to avoid
- you need solutions in languages other than Python
- you want an actively maintained repository with recent updates
- you need a guaranteed complete or correct set of solutions, since some are marked as needing optimization

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

## Member repositories
- selfboot/LeetCode (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:38.961561+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 2026-08-30T06:41:55.048664+00:00, confidence not recorded.
  - readme: https://github.com/selfboot/LeetCode (fetched 2026-08-28T04:03:38.961561+00:00, sha da783cc45952)
- Data as of 2026-08-30T08:39:29.467469+00:00.