Learning JavaScript Data Structures and Algorithms

Learning JavaScript Data Structures and Algorithms - Third Edition

Overview of this book

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.

Title Page

Dedication

Packt Upsell

Contributors

Preface

Free Chapter

JavaScript – A Quick Overview

JavaScript data structure and algorithms

Setting up the environment

JavaScript basics

Debugging and tools

Summary

ECMAScript and TypeScript Overview

ECMAScript or JavaScript?

ECMAScript 2015+ functionalities

Introducing TypeScript

Summary

Arrays

Why should we use arrays?

Creating and initializing arrays

Adding elements

Removing elements

Adding and removing elements from a specific position

Two-dimensional and multi-dimensional arrays

References for JavaScript array methods

The TypedArray class

Arrays in TypeScript

Summary

Stacks

Creating a JavaScript data structure and algorithm library

The stack data structure

Creating a JavaScript object-based Stack class

Protecting the internal elements of the data structure

Solving problems using stacks

Summary

Queues and Deques

The queue data structure

The deque data structure

Solving problems using queues and deques

Summary

Linked Lists

The linked list data structure

Doubly linked lists

Circular linked lists

Sorted linked lists

Creating the StackLinkedList class

Summary

Sets

Structuring a dataset

Creating a Set class

Set operations

ECMAScript 2015 – the Set class

Multisets or bags

Summary

Dictionaries and Hashes

The dictionary data structure

The hash table

The ES2015 Map class

The ES2015 WeakMap and WeakSet classes

Summary

Recursion

Understanding recursion

Calculating the factorial of a number

The Fibonacci sequence

Why use recursion? Is it faster?

Summary

Trees

The tree data structure

Tree terminology

The binary and binary search trees

Tree traversal

Searching for values in a tree

Self-balancing trees

Summary

Binary Heap and Heap Sort

The binary heap data structure

The heap sort algorithm

Summary

Graphs

Graph terminology

Representing a graph

Creating the Graph class

Graph traversals

Shortest path algorithms

Minimum spanning tree (MST)

Summary

Sorting and Searching Algorithms

Sorting algorithms

Searching algorithms

Shuffle algorithms

Summary

Algorithm Designs and Techniques

Divide and conquer

Dynamic programming

Greedy algorithms

Backtracking algorithms

Introduction to functional programming

Summary

Algorithm Complexity

Big O notation

Having fun with algorithms

Summary

Other Books You May Enjoy

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Index

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Chapter 1. JavaScript – A Quick Overview

JavaScript is a very powerful language. It is one of the most popular languages in the world and is one of the most prominent languages on the internet. For example, GitHub (the world's largest code host, available at https://github.com) hosts over 400,000 JavaScript repositories (the largest number of projects available is in JavaScript; refer to http://githut.info). The number of projects in JavaScript and GitHub grows every year.

JavaScript is not a language that can only be used in the frontend. It can also be used in the backend, and Node.js is the technology responsible for this. The number of Node Package Modules (npm), https://www.npmjs.org, has also grown exponentially. JavaScript can also be used for mobile development and is one of the most popular frameworks in Apache Cordova (https://cordova.apache.org), which is a mobile hybrid framework that allows developers to code using HTML, CSS, and JavaScript, which allows you to build an app and generate an APK file for Android and IPA file for iOS (Apple). And of course, let's not forget about desktop applications. We can write desktop applications compatible with Linux, Mac OS, and Windows using a JavaScript framework called Electron (https://electron.atom.io). JavaScript is also used in embedded and Internet of Things (IoT) devices. As you can see, JavaScript is everywhere!

JavaScript is a must-have on your resume if you are or are becoming a web developer.

In this chapter, you will learn the syntax and some necessary basic functionalities of JavaScript so that we can start developing our own data structures and algorithms. We will cover:

Setting up the environment and JavaScript basics
Controlling structures and functions
Object-oriented programming in JavaScript
Debugging and tools

Learning JavaScript Data Structures and Algorithms - Third Edition

Learning JavaScript Data Structures and Algorithms - Third Edition

Overview of this book

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Chapter 1. JavaScript – A Quick Overview