# csujedihy/lc-all-solutions

My own leetcode solutions by python

Repository: https://github.com/csujedihy/lc-all-solutions
Canonical: https://ross.abutalabs.com/products/lc-all-solutions
Language: Python
License Family: other
Last push: 2022-04-10T23:22:39+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3367, "days_push": 1606, "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 2145, forks 680 (observed 2026-08-28T04:06:18.729061+00:00)

## What it is
A collection of Python solutions to LeetCode algorithm problems, generated via the leetcode-spider tool. It serves as a reference for studying coding interview problems and their solutions.

## Use cases
- study leetcode solutions in python
- prepare for coding interviews
- look up how to solve a specific leetcode problem
- compare my solution against a reference implementation
- learn common algorithm patterns and techniques

## When to choose
- you want a large corpus of Python LeetCode solutions to browse or study
- you need reference implementations while practicing interview problems

## When to avoid
- you need actively maintained or up-to-date solutions for new problems
- you want solutions in languages other than Python
- you need an interactive practice platform rather than a static solution archive

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

## Member repositories
- csujedihy/lc-all-solutions (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:18.729061+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 2026-08-30T02:51:12.087800+00:00, confidence not recorded.
  - readme: https://github.com/csujedihy/lc-all-solutions (fetched 2026-08-28T04:06:18.729061+00:00, sha 3d7c49cf9d6f)
- Data as of 2026-08-30T08:39:29.467469+00:00.