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0.1. 关于本书
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0.2. 如何使用本书
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1.1. 算法无处不在
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2.2. 时间复杂度
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2.3. 空间复杂度
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</a>
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<a href="../../chapter_computational_complexity/summary/" class="md-nav__link">
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2.5. 小结
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</a>
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3.3. 小结
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</nav>
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4.1. 数组（Array）
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4.2. 链表（LinkedList）
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</a>
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<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_6" >
|
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<label class="md-nav__link" for="__nav_6" id="__nav_6_label" tabindex="0">
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5. 栈与队列
|
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<span class="md-nav__icon md-icon"></span>
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</label>
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<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_6_label" aria-expanded="false">
|
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<label class="md-nav__title" for="__nav_6">
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<span class="md-nav__icon md-icon"></span>
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5. 栈与队列
|
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="../../chapter_stack_and_queue/stack/" class="md-nav__link">
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5.1. 栈（Stack）
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../chapter_stack_and_queue/queue/" class="md-nav__link">
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5.2. 队列（Queue）
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../chapter_stack_and_queue/deque/" class="md-nav__link">
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5.3. 双向队列（Deque）
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../chapter_stack_and_queue/summary/" class="md-nav__link">
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5.4. 小结
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</a>
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</li>
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</ul>
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</nav>
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</li>
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<li class="md-nav__item md-nav__item--section md-nav__item--nested">
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<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7" >
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<label class="md-nav__link" for="__nav_7" id="__nav_7_label" tabindex="0">
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6. 散列表
|
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<span class="md-nav__icon md-icon"></span>
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</label>
|
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|
<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_7_label" aria-expanded="false">
|
|
|
<label class="md-nav__title" for="__nav_7">
|
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<span class="md-nav__icon md-icon"></span>
|
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6. 散列表
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
|
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<a href="../../chapter_hashing/hash_map/" class="md-nav__link">
|
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6.1. 哈希表（HashMap）
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../chapter_hashing/hash_collision/" class="md-nav__link">
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6.2. 哈希冲突处理
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../chapter_hashing/summary/" class="md-nav__link">
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6.3. 小结
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</a>
|
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</li>
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</ul>
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</nav>
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</li>
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<li class="md-nav__item md-nav__item--section md-nav__item--nested">
|
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<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_8" >
|
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<label class="md-nav__link" for="__nav_8" id="__nav_8_label" tabindex="0">
|
|
|
7. 二叉树
|
|
|
<span class="md-nav__icon md-icon"></span>
|
|
|
</label>
|
|
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|
|
|
<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_8_label" aria-expanded="false">
|
|
|
<label class="md-nav__title" for="__nav_8">
|
|
|
<span class="md-nav__icon md-icon"></span>
|
|
|
7. 二叉树
|
|
|
</label>
|
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
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<li class="md-nav__item">
|
|
|
<a href="../../chapter_tree/binary_tree/" class="md-nav__link">
|
|
|
7.1. 二叉树（Binary Tree）
|
|
|
</a>
|
|
|
</li>
|
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<li class="md-nav__item">
|
|
|
<a href="../../chapter_tree/binary_tree_traversal/" class="md-nav__link">
|
|
|
7.2. 二叉树遍历
|
|
|
</a>
|
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</li>
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<li class="md-nav__item">
|
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<a href="../../chapter_tree/binary_search_tree/" class="md-nav__link">
|
|
|
7.3. 二叉搜索树
|
|
|
</a>
|
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</li>
|
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<li class="md-nav__item">
|
|
|
<a href="../../chapter_tree/avl_tree/" class="md-nav__link">
|
|
|
7.4. AVL 树 *
|
|
|
</a>
|
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|
</li>
|
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<li class="md-nav__item">
|
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<a href="../../chapter_tree/summary/" class="md-nav__link">
|
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7.5. 小结
|
|
|
</a>
|
|
|
</li>
|
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</ul>
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</nav>
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</li>
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<li class="md-nav__item md-nav__item--section md-nav__item--nested">
|
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|
|
|
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_9" >
|
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|
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|
<label class="md-nav__link" for="__nav_9" id="__nav_9_label" tabindex="0">
|
|
|
8. 堆
|
|
|
<span class="md-nav__icon md-icon"></span>
|
|
|
</label>
|
|
|
|
|
|
<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_9_label" aria-expanded="false">
|
|
|
<label class="md-nav__title" for="__nav_9">
|
|
|
<span class="md-nav__icon md-icon"></span>
|
|
|
8. 堆
|
|
|
</label>
|
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
|
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|
|
<li class="md-nav__item">
|
|
|
<a href="../../chapter_heap/heap/" class="md-nav__link">
|
|
|
8.1. 堆（Heap）
|
|
|
</a>
|
|
|
</li>
|
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</ul>
|
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</nav>
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</li>
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<li class="md-nav__item md-nav__item--section md-nav__item--nested">
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_10" >
|
|
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<label class="md-nav__link" for="__nav_10" id="__nav_10_label" tabindex="0">
|
|
|
9. 图
|
|
|
<span class="md-nav__icon md-icon"></span>
|
|
|
</label>
|
|
|
|
|
|
<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_10_label" aria-expanded="false">
|
|
|
<label class="md-nav__title" for="__nav_10">
|
|
|
<span class="md-nav__icon md-icon"></span>
|
|
|
9. 图
|
|
|
</label>
|
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
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|
<li class="md-nav__item">
|
|
|
<a href="../../chapter_graph/graph/" class="md-nav__link">
|
|
|
9.1. 图（Graph）
|
|
|
</a>
|
|
|
</li>
|
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|
<li class="md-nav__item">
|
|
|
<a href="../../chapter_graph/graph_operations/" class="md-nav__link">
|
|
|
9.2. 图基础操作
|
|
|
</a>
|
|
|
</li>
|
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|
<li class="md-nav__item">
|
|
|
<a href="../../chapter_graph/graph_traversal/" class="md-nav__link">
|
|
|
9.3. 图的遍历
|
|
|
</a>
|
|
|
</li>
|
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</ul>
|
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</nav>
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</li>
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<li class="md-nav__item md-nav__item--section md-nav__item--nested">
|
|
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|
|
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_11" >
|
|
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<label class="md-nav__link" for="__nav_11" id="__nav_11_label" tabindex="0">
|
|
|
10. 查找算法
|
|
|
<span class="md-nav__icon md-icon"></span>
|
|
|
</label>
|
|
|
|
|
|
<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_11_label" aria-expanded="false">
|
|
|
<label class="md-nav__title" for="__nav_11">
|
|
|
<span class="md-nav__icon md-icon"></span>
|
|
|
10. 查找算法
|
|
|
</label>
|
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
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|
<li class="md-nav__item">
|
|
|
<a href="../../chapter_searching/linear_search/" class="md-nav__link">
|
|
|
10.1. 线性查找
|
|
|
</a>
|
|
|
</li>
|
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|
|
<li class="md-nav__item">
|
|
|
<a href="../../chapter_searching/binary_search/" class="md-nav__link">
|
|
|
10.2. 二分查找
|
|
|
</a>
|
|
|
</li>
|
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|
<li class="md-nav__item">
|
|
|
<a href="../../chapter_searching/hashing_search/" class="md-nav__link">
|
|
|
10.3. 哈希查找
|
|
|
</a>
|
|
|
</li>
|
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|
<li class="md-nav__item">
|
|
|
<a href="../../chapter_searching/summary/" class="md-nav__link">
|
|
|
10.4. 小结
|
|
|
</a>
|
|
|
</li>
|
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|
|
</ul>
|
|
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</nav>
|
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</li>
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<li class="md-nav__item md-nav__item--section md-nav__item--nested">
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_12" >
|
|
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|
<label class="md-nav__link" for="__nav_12" id="__nav_12_label" tabindex="0">
|
|
|
11. 排序算法
|
|
|
<span class="md-nav__icon md-icon"></span>
|
|
|
</label>
|
|
|
|
|
|
<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_12_label" aria-expanded="false">
|
|
|
<label class="md-nav__title" for="__nav_12">
|
|
|
<span class="md-nav__icon md-icon"></span>
|
|
|
11. 排序算法
|
|
|
</label>
|
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
|
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|
<li class="md-nav__item">
|
|
|
<a href="../../chapter_sorting/intro_to_sort/" class="md-nav__link">
|
|
|
11.1. 排序简介
|
|
|
</a>
|
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11.2. 冒泡排序
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11.3. 插入排序
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11.4. 快速排序
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11.5. 归并排序
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11.6. 小结
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0.2.1. 图文搭配学
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下载代码仓
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运行源代码
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0.2.3. 提问讨论学
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0.2.4. 算法学习“三步走”
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<a href="https://github.com/krahets/hello-algo/tree/main/docs/chapter_preface/suggestions.md" title="编辑此页" class="md-content__button md-icon">
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M10 20H6V4h7v5h5v3.1l2-2V8l-6-6H6c-1.1 0-2 .9-2 2v16c0 1.1.9 2 2 2h4v-2m10.2-7c.1 0 .3.1.4.2l1.3 1.3c.2.2.2.6 0 .8l-1 1-2.1-2.1 1-1c.1-.1.2-.2.4-.2m0 3.9L14.1 23H12v-2.1l6.1-6.1 2.1 2.1Z"/></svg>
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<h1 id="02">0.2. 如何使用本书<a class="headerlink" href="#02" title="Permanent link">¶</a></h1>
|
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|
<h2 id="021">0.2.1. 图文搭配学<a class="headerlink" href="#021" title="Permanent link">¶</a></h2>
|
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|
<p>视频和图片相比于文字的信息密度和结构化程度更高，更容易让人理解。在本书中，重点和难点知识会主要以动画、图解的形式呈现，而文字的作用则是作为动画和图的解释与补充。</p>
|
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<p>在阅读本书的过程中，若发现某段内容提供了动画或图解，<strong>建议你以图为主线</strong>，将文字内容（一般在图的上方）对齐到图中内容，综合来理解。</p>
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<p><img alt="animation" src="../suggestions.assets/animation.gif" /></p>
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<h2 id="022">0.2.2. 代码实践学<a class="headerlink" href="#022" title="Permanent link">¶</a></h2>
|
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<div class="admonition tip">
|
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<p class="admonition-title">前置工作</p>
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<p>如果没有本地编程环境，可以参照下节 <a href="https://www.hello-algo.com/chapter_preface/installation/">编程环境安装</a> 。</p>
|
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</div>
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<h3 id="_1">下载代码仓<a class="headerlink" href="#_1" title="Permanent link">¶</a></h3>
|
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|
<p>如果已经安装 <a href="https://git-scm.com/downloads">Git</a> ，可以通过命令行来克隆代码仓。</p>
|
|
|
<div class="highlight"><pre><span></span><code><a id="__codelineno-0-1" name="__codelineno-0-1" href="#__codelineno-0-1"></a>git<span class="w"> </span>clone<span class="w"> </span>https://github.com/krahets/hello-algo.git
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</code></pre></div>
|
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<p>当然，你也可以点击“Download ZIP”直接下载代码压缩包，解压即可。</p>
|
|
|
<p><img alt="download_code" src="../suggestions.assets/download_code.png" /></p>
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<h3 id="_2">运行源代码<a class="headerlink" href="#_2" title="Permanent link">¶</a></h3>
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<p>本书提供配套 Java, C++, Python 代码仓（后续可能拓展支持语言）。书中的代码栏上若标有 <code>*.java</code> , <code>*.cpp</code> , <code>*.py</code> ，则可在仓库 codes 文件夹中找到对应的 <strong>代码源文件</strong>。</p>
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<p><img alt="code_md_to_repo" src="../suggestions.assets/code_md_to_repo.png" /></p>
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<p>这些源文件中包含详细注释，配有测试样例，可以直接运行，帮助你省去不必要的调试时间，可以将精力集中在学习内容上。</p>
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<p><img alt="running_code" src="../suggestions.assets/running_code.gif" /></p>
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<div class="admonition tip">
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<p class="admonition-title">代码学习建议</p>
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<p>若学习时间紧张，<strong>请至少将所有代码通读并运行一遍</strong>。若时间允许，<strong>强烈建议对照着代码自己敲一遍</strong>，逐渐锻炼肌肉记忆。相比于读代码，写代码的过程往往能带来新的收获。</p>
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</div>
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<h2 id="023">0.2.3. 提问讨论学<a class="headerlink" href="#023" title="Permanent link">¶</a></h2>
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|
<p>阅读本书时，请不要“惯着”那些弄不明白的知识点。如果有任何疑惑，<strong>可以在评论区留下你的问题</strong>，小伙伴们和我都会给予解答（您一般 3 天内会得到回复）。</p>
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<p>同时，也希望你可以多花时间逛逛评论区。一方面，可以看看大家遇到了什么问题，反过来查漏补缺，这往往可以引起更加深度的思考。另一方面，也希望你可以慷慨地解答小伙伴们的问题、分享自己的见解，大家一起加油与进步！</p>
|
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<p><img alt="comment" src="../suggestions.assets/comment.gif" /></p>
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<h2 id="024">0.2.4. 算法学习“三步走”<a class="headerlink" href="#024" title="Permanent link">¶</a></h2>
|
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|
<p><strong>第一阶段，算法入门，也正是本书的定位</strong>。熟悉各种数据结构的特点、用法，学习各种算法的工作原理、用途、效率等。</p>
|
|
|
<p><strong>第二阶段，刷算法题</strong>。可以先从热门题单开刷，推荐 <a href="https://leetcode.cn/problem-list/xb9nqhhg/">剑指 Offer</a>、<a href="https://leetcode.cn/problem-list/2cktkvj/">LeetCode 热题 HOT 100</a> ，先积累至少 100 道题量，熟悉大多数的算法问题。刚开始刷题时，“遗忘”是最大的困扰点，但这是很正常的，请不要担心。学习中有一种概念叫“周期性回顾”，同一道题隔段时间做一次，当做了三遍以上，往往就能牢记于心了。</p>
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|
<p><strong>第三阶段，搭建知识体系</strong>。在学习方面，可以阅读算法专栏文章、解题框架、算法教材，不断地丰富知识体系。在刷题方面，可以开始采用进阶刷题方案，例如按专题分类、一题多解、一解多题等，刷题方案在社区中可以找到一些讲解，在此不做赘述。</p>
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<p><img alt="learning_route" src="../suggestions.assets/learning_route.png" /></p>
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