# prabhupant/python-ds

No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.

Repository: https://github.com/prabhupant/python-ds
Canonical: https://ross.abutalabs.com/products/python-ds
Language: Python
License: MIT
License Family: permissive
Topics: algorithms, data-structures, computer-science
Last push: 2024-04-06T07:43:21+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": 2592, "days_push": 879, "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 3089, forks 617 (observed 2026-08-28T04:07:42.252723+00:00)

## What it is
A curated collection of clean, consistent Python implementations of common data structures and algorithms, aimed at interview preparation. It also includes bookmarked links to articles, books, tutorials, and videos on computer science topics.

## Use cases
- prepare for coding interviews with clean Python examples
- learn how to implement data structures in Python
- study common algorithms like sorting and dynamic programming
- find curated learning resources for computer science
- review linked list, stack, and graph implementations before an interview

## When to choose
- you want simple, elegant, idiomatic Python reference implementations of classic data structures and algorithms
- you are preparing for technical interviews and prefer minimal, consistent code over verbose tutorials
- you want a starting point to study or contribute algorithm solutions in Python

## When to avoid
- you need a production-ready data structures library to install and use in your application
- you need comprehensive coverage of advanced topics like heaps, trees, or queues, which are still incomplete
- you prefer interactive lessons or visualizations rather than plain code files

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, programming-languages
- platform: python
- tags: data-structures, interview-preparation, computer-science, algorithms, educational-code

## Member repositories
- prabhupant/python-ds (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:42.252723+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 2026-08-30T07:27:30.092559+00:00, confidence not recorded.
  - readme: https://github.com/prabhupant/python-ds (fetched 2026-08-28T04:07:42.252723+00:00, sha 76f6456f392f)
  - registry_pypi: https://pypi.org/pypi/python-ds/json (fetched 2026-08-29T09:42:39.509459+00:00, sha a1e5674b01e7)
- Data as of 2026-08-30T08:39:29.467469+00:00.