# liuyubobobo/Play-with-Data-Structures

Codes of my MOOC Course <Play Data Structures in Java>. Updated contents and practices are also included. 我在慕课网上的课程《Java语言玩转数据结构》示例代码。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-Data-Structures
Canonical: https://ross.abutalabs.com/products/play-with-data-structures
Language: Java
License Family: other
Topics: algorithm, data-structures, imooc, mooc
Last push: 2021-06-18T01:14:43+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": 3087, "days_push": 1903, "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 2007, forks 816 (observed 2026-08-28T04:06:04.728827+00:00)

## What it is
Official companion code repository for the MOOC course 'Play with Data Structures in Java' by liuyubobobo. It contains all course source code, errata, supplementary exercises, and updates for learning data structures in Java.

## Use cases
- learn data structures in java
- study for coding interviews
- find example implementations of arrays, linked lists, trees, and heaps
- supplement a data structures mooc with runnable code
- practice data structure exercises

## When to choose
- you are taking or considering the imooc course and want the official code
- you learn best from runnable Java examples of classic data structures
- you want supplementary exercises beyond the course lectures

## When to avoid
- you need a production data structures library to depend on
- you want course materials in a language other than Java
- you need a license permitting redistribution of the code

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

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

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:04.728827+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 2026-08-30T03:01:25.150084+00:00, confidence not recorded.
  - readme: https://github.com/liuyubobobo/Play-with-Data-Structures (fetched 2026-08-28T04:06:04.728827+00:00, sha 0fb00adf0435)
- Data as of 2026-08-30T08:39:29.467469+00:00.