Create classic data structures and algorithms such as depth-first search and breadth-first search, learn recursion, as well as create and use a heap data structure using JavaScript
Key Features
Book Description
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. With this book, you will learn to write complex and powerful code using the latest ES 2017 features.
Learning JavaScript Data Structures and Algorithms begins by covering the basics of JavaScript and introduces you to ECMAScript 2017, before gradually moving on to the most important data structures such as arrays, queues, stacks, and linked lists. You will gain in-depth knowledge of how hash tables and set data structures function as well as how trees and hash maps can be used to search files in an HD or represent a database. This book serves as a route to take you deeper into JavaScript. You'll also get a greater understanding of why and how graphs, one of the most complex data structures, are largely used in GPS navigation systems in social networks.
Toward the end of the book, you'll discover how all the theories presented in this book can be applied to solve real-world problems while working on your own computer networks and Facebook searches.
What you will learn
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Loiane Groner has over 10 years of experience in developing enterprise applications. Currently, she works as a business analyst and a Java/HTML5/JavaScript developer at an American financial institution. She is passionate about technology, publishes articles on her blog, and has presented talks at conferences about Java, ExtJS, Cordova, Ionic, TypeScript and Angular. She is a Google Developer Expert in Web Technologies and Angular, and a Microsoft Most Valuable Professional in Visual Studio and Development Technologies. She has also authored other Packt books.
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