# tech-cow/leetcode

👏🏻 leetcode solutions for Humans™

Repository: https://github.com/tech-cow/leetcode
Canonical: https://ross.abutalabs.com/products/tech-cow-leetcode
Language: Python
License Family: other
Topics: leetcode, algorithm, google, python, interview, interview-questions, interview-practice, interview-preparation, interview-test, algorithms, algorithm-challenges, algorithms-datastructures, algiorithimcs, algorithms-and-data-structures, algorithm-competitions, leetcode-solutions, leetcode-python, python-leetcode
Last push: 2021-04-20T18:34:48+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": 3434, "days_push": 1961, "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 1351, forks 302 (observed 2026-08-28T04:04:28.202035+00:00)

## What it is
A curated collection of LeetCode problem solutions written in Python, organized by data structure and difficulty with time/space complexity annotations. It also includes mock interview feedback notes and a personal interview preparation journey timeline.

## Use cases
- study python solutions to leetcode problems
- prepare for coding interviews with worked examples
- learn time and space complexity of common algorithm solutions
- find reference implementations for linked list and array problems
- review mock interview feedback from google and yahoo interviewers

## When to choose
- you want readable python solutions to specific leetcode problems
- you are preparing for technical interviews and want complexity-annotated examples
- you want to see how a successful candidate documented their interview prep journey

## When to avoid
- you need an interactive judge or testing harness rather than static solutions
- you need actively maintained content or support
- you need solutions in languages other than python
- you need a comprehensive or up-to-date problem coverage

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

## Member repositories
- tech-cow/leetcode (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:28.202035+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 2026-08-30T04:42:14.209788+00:00, confidence not recorded.
  - readme: https://github.com/tech-cow/leetcode (fetched 2026-08-28T04:04:28.202035+00:00, sha 6c31374319d8)
- Data as of 2026-08-30T08:39:29.467469+00:00.