# Jack-Lee-Hiter/AlgorithmsByPython

算法/数据结构/Python/剑指offer/机器学习/leetcode

Repository: https://github.com/Jack-Lee-Hiter/AlgorithmsByPython
Canonical: https://ross.abutalabs.com/products/algorithmsbypython
Language: Python
License Family: other
Last push: 2020-01-19T13:58:31+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": 3719, "days_push": 2418, "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 4075, forks 1302 (observed 2026-08-28T04:08:34.321403+00:00)

## What it is
A collection of classic algorithms and data structures implemented in Python, including sorting, trees, heaps, and dynamic programming. It also contains solutions to 'Sword to Offer' interview problems, LeetCode exercises, and some machine learning algorithms.

## Use cases
- learn data structures in python
- prepare for coding interviews
- study sorting algorithm implementations
- practice leetcode problems with python solutions
- review sword to offer interview questions
- understand dynamic programming examples

## When to choose
- you are learning algorithms and data structures from scratch in Python
- you are preparing for technical interviews and want reference implementations
- you want readable example code for classic algorithms like quicksort or binary search trees

## When to avoid
- you need a production-ready algorithm library for real applications
- you need maintained, tested, or versioned code
- you need advanced or comprehensive algorithm coverage beyond the basics

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, tutorials, machine-learning
- platform: python
- tags: data-structures, leetcode, interview-preparation, sorting, sword-to-offer, study-notes, algorithms

## Member repositories
- Jack-Lee-Hiter/AlgorithmsByPython (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:34.321403+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 2026-08-29T18:23:28.100986+00:00, confidence not recorded.
  - readme: https://github.com/Jack-Lee-Hiter/AlgorithmsByPython (fetched 2026-08-28T04:08:34.321403+00:00, sha 884d4cd90c1e)
- Data as of 2026-08-30T08:39:29.467469+00:00.