# liuyubobobo/Play-with-Algorithms

Codes of my MOOC Course <Play with Algorithms>, Both in C++ and Java language. Updated contents and practices are also included. 我在慕课网上的课程《算法与数据结构》示例代码，包括C++和Java版本。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

Repository: https://github.com/liuyubobobo/Play-with-Algorithms
Canonical: https://ross.abutalabs.com/products/play-with-algorithms
Language: Java
License Family: other
Topics: mooc, imooc, algorithms
Last push: 2021-12-12T18:48:29+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": 3711, "days_push": 1725, "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 3715, forks 1441 (observed 2026-08-28T04:08:15.350158+00:00)

## What it is
Official companion code repository for liuyubobobo's MOOC course 'Play with Algorithms' (算法与数据结构), containing example source code in both C++ and Java. It covers sorting, data structures, and classic algorithms with supplementary exercises and errata.

## Use cases
- learn algorithms and data structures with example code
- study sorting algorithm implementations in C++ and Java
- prepare for coding interviews with algorithm practice
- follow along with an algorithms MOOC course
- find reference implementations of classic data structures

## When to choose
- you are taking or planning to take the accompanying MOOC course
- you want side-by-side C++ and Java algorithm examples
- you are a beginner learning algorithms and data structures

## When to avoid
- you need a production-ready algorithm library to import
- you need languages other than C++ or Java
- you want actively maintained, bug-free software

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, tutorials
- platform: cpp, jvm
- tags: mooc, data-structures, sorting, course-code, interview-prep, algorithms

## Member repositories
- liuyubobobo/Play-with-Algorithms (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:15.350158+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 2026-08-29T18:29:23.153913+00:00, confidence not recorded.
  - readme: https://github.com/liuyubobobo/Play-with-Algorithms (fetched 2026-08-28T04:08:15.350158+00:00, sha b10b8a88510a)
- Data as of 2026-08-30T08:39:29.467469+00:00.