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Learning JavaScript Data Structures and Algorithms

Learning JavaScript Data Structures and Algorithms - Second Edition

By : Loiane Avancini
4 (10)
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Learning JavaScript Data Structures and Algorithms

Learning JavaScript Data Structures and Algorithms

4 (10)
By: Loiane Avancini

Overview of this book

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. 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 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.
Table of Contents (13 chapters)
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JavaScript data structure and algorithms

In this book, you will learn about the most-used data structures and algorithms. However, why use JavaScript to learn about data structures and algorithms? We have already answered this question. JavaScript is very popular and is appropriate to learn about data structures because it is a functional language. Also, this can be a very fun way of learning something new as it is very different from (and easier than) learning about data structures with a standard language such as C or Java. And who said data structures and algorithms were only made for languages such as C and Java? You might need to implement some of these languages while developing for the frontend as well.

Learning about data structures and algorithms is very important. The first reason is that data structures and algorithms can solve the most common problems efficiently. This will make a difference to the quality of the source code you write in the future (including performance; if you choose the incorrect data structure or algorithm, depending on the scenario, you may have some performance issues). Secondly, algorithms are studied in college together with the introductory concepts of computer science. And thirdly, if you are planning to get a job in the greatest IT (Information Technology) companies (such as Google, Amazon, Ebay, and so on), data structures and algorithms are the subjects of interview questions.

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