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liuyubobobo/play-with-algorithms

Analysis updated 2026-07-03

3,709JavaAudience · developerComplexity · 2/5Setup · easy

TLDR

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.

Mindmap

mindmap
  root((play-with-algorithms))
    What it does
      Course code companion
      Chapter-by-chapter examples
      imooc.com course
    Languages
      Java
      C++
    Topics covered
      Sorting algorithms
      Data structures
      Advanced techniques
    Content types
      Required lessons
      Supplementary optional
    Audience
      Students
      Self-taught developers
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Code map

Detail Auto

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What do people build with it?

USE CASE 1

Follow along with the imooc algorithms course by running the matching C++ or Java code samples for each chapter

USE CASE 2

Study the implementation of sorting algorithms like merge sort and quick sort in both C++ and Java side by side

USE CASE 3

Use the chapter-structured code as a reference while building foundational algorithms knowledge

USE CASE 4

Explore the supplementary exercises after finishing the required lessons to deepen understanding

What is it built with?

JavaC++

How does it compare?

liuyubobobo/play-with-algorithmsgrpc-ecosystem/grpc-springspringdoc/springdoc-openapi
Stars3,7093,7093,706
LanguageJavaJavaJava
Setup difficultyeasymoderateeasy
Complexity2/53/52/5
Audiencedeveloperdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min
Not specified in the explanation.

In plain English

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.

Copy-paste prompts

Prompt 1
I'm studying the play-with-algorithms course and want to run the merge sort example in Java. Show me where to find it in the repo and how to compile and run it.
Prompt 2
Walk me through the difference between selection sort and insertion sort using the code examples in play-with-algorithms chapter 1.
Prompt 3
I prefer Python over Java or C++. Is there a Python version of the play-with-algorithms code and how do I find it?
Prompt 4
Show me how the quick sort implementation in play-with-algorithms compares to the standard textbook version and what optimizations it includes.
Prompt 5
I've finished the required chapters of play-with-algorithms. What does the supplementary optional content cover and in what order should I tackle it?

Frequently asked questions

What is play-with-algorithms?

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.

What language is play-with-algorithms written in?

Mainly Java. The stack also includes Java, C++.

What license does play-with-algorithms use?

Not specified in the explanation.

How hard is play-with-algorithms to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is play-with-algorithms for?

Mainly developer.

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