Learning JavaScript Data Structures and Algorithms Front Cover

Learning JavaScript Data Structures and Algorithms

  • Length: 218 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2014-10-27
  • ISBN-10: 1783554878
  • ISBN-13: 9781783554874
  • Sales Rank: #1507492 (See Top 100 Books)

Understand and implement classic data structures and algorithms using JavaScript

About This Book

  • Learn how to use the most used data structures such as array, stack, list, tree, and graphs with real-world examples
  • Get a grasp on which one is best between searching and sorting algorithms and learn how to implement them
  • Follow through solutions for notable programming problems with step-by-step explanations

Who This Book Is For

If you are a JavaScript developer or someone who has basic knowledge of JavaScript, and want to explore its optimum ability, this fast-paced book is definitely for you. Programming logic is the only thing you need to know to start having fun with algorithms.

In Detail

A data structure is a particular way of organizing data in a computer to utilize resources efficiently. Data structures and algorithms are the base of every solution to any programming problem.

This book begins by covering the basics of the JavaScript language and then moves on to discuss the most important data structures such as array, queue, stack, and linked list. You will also gain an in-depth knowledge of how hash tables and set data structure function. After this, you will be taught what trees are, and how to use the binary tree and the binary search tree.

In subsequent chapters, you will learn about graphs, DFS, and BFS. Finally, we will round off by learning how to differentiate between various searching and sorting algorithms such as sequential search, binary search, quick sort, bubble sort, and so on, and how to implement them. Towards the end of the book, you will also be introduced to dynamic programming.

Table of Contents

Chapter 1. JavaScript – A Quick Overview
Chapter 2. Arrays
Chapter 3. Stacks
Chapter 4. Queues
Chapter 5. Linked Lists
Chapter 6. Sets
Chapter 7. Dictionaries and Hashes
Chapter 8. Trees
Chapter 9. Graphs
Chapter 10. Sorting and Searching Algorithms

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