Learning JavaScript Data Structures and Algorithms: Enhance your problem-solving skills in JavaScript and TypeScript

Solidify your computer science fundamentals and choose the right data structures and algorithms for your programs – with new TypeScript focus and exercises.
Purchase of the print or Kindle book includes a free eBook in PDF format.
Key Features

• Explore the most common data structures and algorithms you’ll encounter at work and in interviews
• Connect theory with real-world implementations in JavaScript and TypeScript
• Walk through solutions to LeetCode and HackerRank problems with the author

Book Description
Data structures and algorithms are foundational topics for software developers.
This easy-to-follow book from experienced developer and trainer Loiane Groner will help you to fill in the gaps in your knowledge – whether you’re a self-taught developer, you’re preparing for technical interviews, or you just want to write better code and improve your problem-solving skills.
This fourth edition covers essential data structures, algorithms, and their usage in the context of JavaScript. You’ll follow examples in both JavaScript and TypeScript, in line with the latest standards and best practices, learning how to do complexity analysis along the way. New to this edition are LeetCode and HackerRank exercises at the end of each chapter, which you'll be guided through solving. You’ll also find brand-new chapters on the tries data structure, and string and math algorithms.
By the end of the book, you will know how to develop programs using the best data structures and algorithms for the job.
What you will learn

• Declare, initialize, add, and remove items from arrays, stacks, and queues
• Learn how to think about and use recursion
• Create and use linked lists, doubly linked lists, and circular linked lists
• Store unique elements with hash tables, dictionaries, and sets
• Explore the use of binary trees, binary search trees, and tries
• Dive into the use of graphs and well-known graph algorithms
• Sort data structures using algorithms like bubble sort and quick sort
• Search elements in data structures using sequential sort and binary search

Who this book is for
This book is for JavaScript developers who want to understand or improve their knowledge of how data structures and classic algorithms work. This includes those preparing for technical interviews, and self-taught or bootcamp developers who may lack formal computer science grounding and want to fill in the gaps. A basic understanding of JavaScript syntax and general programming concepts is needed to get the most out of this book.
Table of Contents

• Introducing Data Structures and Algorithms in JavaScript
• Understanding Big O Notation
• Arrays
• Stacks
• Queues and Deques
• Linked Lists
• Sets
• Dictionaries and Hashes
• Recursion
• Trees
• Binary Heap and Heap Sort
• Tries
• Graphs
• Sorting Algorithms
• Searching and Shuffling Algorithms
• String Algorithms
• Math Algorithms
• Algorithm Designs and Techniques