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liuyubobobo committed Jul 30, 2018
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**个人公众号:是不是很酷**:)

![QRCode](qrcode.jpg)


## 本代码仓包括

* [课程更新信息](https://github.com/liuyubobobo/Play-with-Algorithms#课程更新信息)
* [课程及补充内容源码](https://github.com/liuyubobobo/Play-with-Algorithms#课程源码目录)
* 课程补充文字讲解 [整理中][不断更新]
* 课程配套练习 [整理中][不断更新]
* 课程勘误信息 [整理中][不断更新]
![QRCode](src/qrcode.jpg)

## 课程更新信息

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* 我的**LeetCode题解代码仓**[Play Leetcode](https://github.com/liuyubobobo/Play-Leetcode) (注:以C++实现为主)

* [@ShiveryMoon 同学的本课程Python代码仓](https://github.com/ShiveryMoon/Imooc-Algorithm-PythonEdition)
## 更多推荐

* [@摘星fy 同学的Canvas版本可视化堆排序过程](https://github.com/kingAnyWHere/MaxHeap),同时也是一个很好的堆结构的可视化。
* 感谢学习课程的大佬 [**@ShiveryMoon**](https://github.com/ShiveryMoon) 同学使用Python语言实现了课程的所有代码,甚至还有不少拓展和补充。有使用Python语言的同学,可以去大佬的代码仓观望。传送门:[https://github.com/ShiveryMoon/Imooc-Algorithm-PythonEdition](https://github.com/ShiveryMoon/Imooc-Algorithm-PythonEdition)

* 感谢学习课程的大佬 [@摘星fy](https://github.com/kingAnyWHere)基于Canvas实现的堆和任意二分搜索树的可视化。有兴趣的同学可以去大佬的代码仓围观。
* 堆的可视化:[https://github.com/kingAnyWHere/MaxHeap](https://github.com/kingAnyWHere/MaxHeap)
* 任意二分搜索树的可视化 :[https://github.com/kingAnyWHere/canvas-binary-search](https://github.com/kingAnyWHere/canvas-binary-search)
* 以下为截图:)

![BST-Visualization](src/demo.png)

## 课程源码目录

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