Learning JavaScript Data Structures and Algorithms, 2nd Edition cover

Learning JavaScript Data Structures and Algorithms, 2nd Edition

Rating 4.0
Word count
342 words
Chapters
12
Series
Turing Programming Series · Web Development
ISBN
9787115467539

Tags

Summary

This book is the Chinese translation of the second edition of Learning JavaScript Data Structures and Algorithms. It is aimed at front-end developers and computer science students who already have basic programming experience and want to systematically fill in their knowledge of data structures and algorithms. The book begins with the JavaScript language and the new features of ES6/ES7, then implements common data structures one by one in JavaScript: arrays and array methods, stacks, queues (including deques), linked lists (singly, doubly, and circular), sets, dictionaries and hash tables, trees (binary trees, binary search trees, AVL trees), and graphs (adjacency matrices and adjacency lists). It then moves on to algorithms, systematically covering bubble, selection, insertion, merge, quick, and heap sort, as well as distributed sorting such as counting, bucket, and radix sort, and compares sequential search with binary search. Chapter 11 discusses algorithm patterns, including divide and conquer, dynamic programming (the knapsack problem, longest common subsequence, matrix chain multiplication), greedy algorithms, and backtracking. The book also covers shortest path and minimum spanning tree algorithms on graphs (Dijkstra, Floyd-Warshall, Prim, Kruskal) and DFS/BFS traversal. The final chapter introduces Big O notation, explaining how to measure time and space complexity, and outlines functional programming and NP-completeness theory. Every chapter includes sample code that can run in the browser or Node.js, emphasizing understanding principles in practice by writing abstract structures as debuggable JS implementations at hand.

Editor's review

很多前端开发者写过无数业务组件,却在面试或技术攻坚时被“链表、树、图、动态规划”卡住,这本书正适合填补这块空白。它的最大特点是“全程用JavaScript讲算法”:每一种结构和算法都给出可直接运行的JS实现,读者不必为了学算法再去恶补C++或Java,学习路径最为顺畅。第二版相比初版有实质扩充:补充ES6/ES7语法与实现现状,把树扩展到AVL树,把图算法扩展到Dijkstra、Floyd-Warshall、Prim、Kruskal,排序部分增加堆排序与分布式排序,算法模式一章加入背包问题、矩阵链相乘,并额外概述函数式编程与NP完全理论。全书共12章、篇幅两百余页,结构清晰、代码密度高,适合当成“边敲边学”的工作手册,而不是只读不练的理论书。需要提醒的是,书中示例偏重原理演示,并未覆盖工程化的性能调优实践,进阶读者可搭配专门的算法竞赛或引擎源码资料使用。

Who it's for

A good fit for

  • 已掌握JavaScript基础语法,希望系统补齐数据结构与算法的前端开发者
  • 计算机相关专业学生,想用熟悉的语言完成数据结构课程实验
  • 准备技术面试、需要复习手写链表、树、排序与动态规划的求职者
  • 从后端或其他语言转向前端,想理解JS中算法实现的工程师

Not a good fit for

  • 完全零基础、尚未写过任何JavaScript代码的初学者
  • 希望深入语言引擎性能优化、V8内部实现等底层细节的读者
  • 寻找大型工程架构或框架源码剖析类内容的中高级开发者

Reading tips

  1. 先跑通第1章的环境配置,把浏览器控制台或Node.js作为主练习场,每章代码务必手敲一遍。
  2. 读数据结构章节时,边写实现边补单元测试,用不同输入验证边界条件,比只看代码印象深刻得多。
  3. 算法章节(排序、搜索、动态规划)建议配纸笔手算小样例,再对照代码验证,理解状态转移与递归过程。
  4. 把本书当查询手册反复回看:第12章的复杂度分析可提前阅读,用来评估后续每个实现的开销。

About the publisher

Posts & Telecom Press China · Founded in 1953

Posts & Telecom Press is known for its strengths in science and technology, computing, and information and communications titles, and has extended its publishing into photography, art, software learning, and inspirational growth, giving it a fairly diverse range. Its catalog includes computing and communications works such as Refactoring and Patterns (Revised Edition) and Huawei Switch Learning Guide (Second Edition), alongside bilingual collector's editions such as The Little Prince (Chinese-English-French illustrated collector's edition), The Great Gatsby, and Three Days to See. Beijing Ten Years: 1980-1990 and Ghost Blade: WLOP Personal Illustration Collection reflect its presence in photography and art. Its authors include Antoine de Saint-Exupéry, Helen Keller, Joshua Kerievsky, Wang Da, Zhang Zhaozeng, and WLOP.

Contents

  1. Chapter 1 Introduction to JavaScript
  2. Chapter 2 Arrays
  3. Chapter 3 Stacks
  4. Chapter 4 Queues
  5. Chapter 5 Linked Lists
  6. Chapter 6 Sets
  7. Chapter 7 Dictionaries and Hash Tables
  8. Chapter 8 Trees
  9. Chapter 9 Graphs
  10. Chapter 10 Sorting and Searching Algorithms
  11. Chapter 11 Algorithm Patterns
  12. Chapter 12 Algorithm Complexity

FAQ

这本书需要什么编程基础?
需要掌握JavaScript基本语法(变量、函数、对象、数组操作)。书中第1章会回顾语言基础并补充ES6/ES7特性,但没有编程经验的新手建议先学完一门JS入门教程再来。
第二版和第一版的主要区别是什么?
第二版新增ES6/ES7特性介绍并更新实现方式,扩展了树与图的内容(AVL树、Dijkstra、Floyd-Warshall、Prim、Kruskal),补充堆排序、分布式排序、背包问题与矩阵链相乘,还概述了函数式编程与NP完全理论。
书中代码能在Node.js里运行吗?
可以。书中多数示例依赖标准JavaScript,Node.js环境可直接运行;涉及浏览器交互的少量示例需在浏览器控制台或配合HTML页面测试。配套源码可在出版社或作者相关渠道获取。
学完能应付前端面试的算法题吗?
本书覆盖了面试常见的链表、栈、队列、树、哈希表、排序、二分搜索与动态规划基础,能打下扎实基础;但面试还需大量刷题训练,建议配合在线题库练习。
这本书有电子版吗?
该书在图灵社区及部分正版电子书平台提供电子版,具体可售渠道与格式以平台当期页面为准,购买时注意选择人民邮电出版社2017年第2版。

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