Analysis updated 2026-07-03
Follow along with the imooc algorithms course by running the matching C++ or Java code samples for each chapter
Study the implementation of sorting algorithms like merge sort and quick sort in both C++ and Java side by side
Use the chapter-structured code as a reference while building foundational algorithms knowledge
Explore the supplementary exercises after finishing the required lessons to deepen understanding
| liuyubobobo/play-with-algorithms | grpc-ecosystem/grpc-spring | springdoc/springdoc-openapi | |
|---|---|---|---|
| Stars | 3,709 | 3,709 | 3,706 |
| Language | Java | Java | Java |
| Setup difficulty | easy | moderate | easy |
| Complexity | 2/5 | 3/5 | 2/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Play-with-Algorithms is the official code repository for a Chinese online course called "Algorithms and Data Structures" (算法与数据结构), published on the imooc.com learning platform. The instructor, Liu Yubo, created this repo to accompany the video lectures, and it holds every code sample shown in the course along with supplementary exercises and corrections added after the initial release. The course is structured as a series of chapters, and the repo mirrors that structure. Each chapter folder contains both a C++ and a Java version of the same code, so learners can follow along in either language. The topics start with basic sorting methods like selection sort and insertion sort, then move on to more advanced techniques including merge sort and quick sort. Beyond sorting, the course covers data structures and other algorithm categories, though the full table of contents extends further than what this summary can cover. The supplementary content added in later versions is labeled as optional. The author recommends finishing the core required lessons first before exploring those additions, since they are meant to broaden thinking rather than fill in gaps. A student contributor also created a Python translation of the course code, available as a separate repository, for those who prefer that language. This is a learning resource, not a deployable library. There is nothing to install or run as an application. The intended audience is students and developers who want to build foundational knowledge of algorithms and data structures by reading and running small, focused code examples. The full README is longer than what was shown.
The companion code repository for a Chinese imooc.com algorithms course, providing C++ and Java implementations of sorting, data structures, and algorithm topics chapter by chapter.
Mainly Java. The stack also includes Java, C++.
Not specified in the explanation.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.