Learning JavaScript Data Structures and Algorithms - Second Edition

Hone up your skills by learning classic data structures and algorithms in JavaScript

About This Book

• See a practical approach to data structures with real-world examples
• Identify when to use searching and sorting algorithms for different scenarios
• Get solutions to common programming problems with step-by-step explanations

Who This Book Is For

If you are a student of Computer Science or are at the start of your technology career and want to explore JavaScript's optimum ability, this book is for you. You need a basic knowledge of JavaScript and programming logic to start having fun with algorithms.

What You Will Learn

• Declare, initialize, add, and remove items from arrays, stacks, and queues
• Get the knack of using algorithms such as DFS (Depth-first Search) and BFS (Breadth-First Search) for the most complex data structures
• Harness the power of creating linked lists, doubly linked lists, and circular linked lists
• Store unique elements with hash tables, dictionaries, and sets
• Use binary trees and binary search trees
• Sort data structures using a range of algorithms such as bubble sort, insertion sort, and quick sort

In Detail

Data structures and algorithms form an integral part of JavaScript and other programming languages. They allow you to organize your code in more efficient way. They can transform the way you understand the language, and give you a renewed confidence when tackling some of the most complex development problems faced.

This book begins by covering basics of the JavaScript language and introducing ECMAScript 7, before gradually moving on to the current implementations of ECMAScript 6. It further delves into basic data structures such as arrays, stacks, linked lists, and queues. You will gain an in-depth knowledge of how hash tables and set data structure functions, as well as how trees and hash maps can be used to search files in a HD or represent a database.

This book will empower you to sort your data structures using various algorithms. With further guidance on working with graph data and using both search and sorting algorithms, this book is an accessible route deeper into JavaScript. Graphs being one of the most complex data structures you'll encounter, we'll also give you a better understanding of why and how graphs are largely used in GPS navigation systems in social networks.

Toward the end of the book, you'll discover how all the theories presented by this book can be applied in real-world solutions while working on your own computer networks and Facebook searches.

Loiane Groner has over 10 years of experience in developing enterprise applications. She has worked at multinational companies, such as IBM, and nowadays she works as Software Development Manager at a financial institution, where she manages overseas solutions. Her areas of expertise include Java, Sencha technologies (Ext JS), and hybrid mobile development with PhoneGap and Ionic. She is passionate about technology, and she has dedicated herself to spreading knowledge in the software development community through her blog http://loiane.com, as guest speaker in IT conferences, and also as guest professor in university extension courses. While at university, she worked as teacher's assistant for 2 years for the Algorithms, Data Structures, and Computing Theory classes. She represented her university at the ACM International Collegiate Programming Contest - Brazilian Finals (South America Regionals) and also worked as Student Delegate of SBC (Brazilian Computing Society). She won a merit award in her Senior year for being one of top three students with better GPAs in the Computer Science department and has also graduated with honors. Loiane is also the author of the books Ext JS 4 First Look, Mastering Ext JS, Mastering Ext JS - Second Edition, Sencha Architect App Development, Learning JavaScript Data Structures and Algorithms, and JavaScript Regular Expression, all of them published by Packt Publishing. If you want to keep in touch, you can find Loiane on Facebook (https://www.facebook.com/loianegroner), Twitter (@loiane), and also on Github (https://github.com/loiane).