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# 图解算法数据结构
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[![Python](https://img.shields.io/badge/Language-Python3-teal)]()[![Python](https://img.shields.io/badge/Language-Java-orange)]()[![Python](https://img.shields.io/badge/Language-C++-blue)]()
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本 Repo 为 LeetBook《图解算法数据结构》的配套代码仓，全部代码已在本地与 LeetCode 测试通过。
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## 精选算法专栏
## 算法专栏
### [数据结构简介](https://leetcode-cn.com/leetbook/read/illustration-of-algorithm/50e446/)
### 「[数据结构简介](https://leetcode-cn.com/leetbook/read/illustration-of-algorithm/50e446/)」
> 建议对数据结构不熟悉的同学，先看这篇熟悉用法。
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- 在算法中，数据结构的「常用操作」；
- 在 Python3 , Java , C++ 语言中，各数据结构的初始化与构建方法。
### [算法复杂度](https://leetcode-cn.com/leetbook/read/illustration-of-algorithm/r84gmi/)
### 「[算法复杂度](https://leetcode-cn.com/leetbook/read/illustration-of-algorithm/r84gmi/)」
> 复杂度是算法优劣性的有力评价指标，对于理解算法起着至关重要的作用。
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- 「时间复杂度」和「空间复杂度」的概念定义、符号表示、常见种类、时空权衡。
- 时间与空间复杂度的示例解析、示例题目。
### [动态规划](https://leetcode-cn.com/leetbook/read/illustration-of-algorithm/m5zfc1/)
### 「[动态规划](https://leetcode-cn.com/leetbook/read/illustration-of-algorithm/m5zfc1/)」
> 动态规划是算法重难点，也是笔面试重要考点，需要重点理解与练习。
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- 动态规划的解题框架总结；
- 动态规划的练习例题，从易到难排序；
### [排序算法简介](https://leetcode-cn.com/leetbook/read/illustration-of-algorithm/pxal47/)
### 「[排序算法简介](https://leetcode-cn.com/leetbook/read/illustration-of-algorithm/pxal47/)」
> 排序是最经典的算法问题之一，由浅入深的多种算法涵盖多个算法知识点（例如暴力搜索、分治算法、堆数据结构等）。