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Sammie Bae - JavaScript Data Structures and Algorithms: An Introduction to Understanding and Implementing Core Data Structure and Algorithm Fundamentals

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Sammie Bae JavaScript Data Structures and Algorithms: An Introduction to Understanding and Implementing Core Data Structure and Algorithm Fundamentals
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JavaScript Data Structures and Algorithms: An Introduction to Understanding and Implementing Core Data Structure and Algorithm Fundamentals: summary, description and annotation

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Explore data structures and algorithm concepts and their relation to everyday JavaScript development. A basic understanding of these ideas is essential to any JavaScript developer wishing to analyze and build great software solutions. Youll discover how to implement data structures such as hash tables, linked lists, stacks, queues, trees, and graphs. Youll also learn how a URL shortener, such as bit.ly, is developed and what is happening to the data as a PDF is uploaded to a webpage. This book covers the practical applications of data structures and algorithms to encryption, searching, sorting, and pattern matching. It is crucial for JavaScript developers to understand how data structures work and how to design algorithms. This book and the accompanying code provide that essential foundation for doing so. With JavaScript Data Structures and Algorithms you can start developing your knowledge and applying it to your JavaScript projects today. What Youll Learn Review core data structure fundamentals: arrays, linked-lists, trees, heaps, graphs, and hash-table Review core algorithm fundamentals: search, sort, recursion, breadth/depth first search, dynamic programming, bitwise operators Examine how the core data structure and algorithms knowledge fits into context of JavaScript explained using prototypical inheritance and native JavaScript objects/data types Take a high-level look at commonly used design patterns in JavaScript Who This Book Is For Existing web developers and software engineers seeking to develop or revisit their fundamental data structures knowledge; beginners and students studying JavaScript independently or via a course or coding bootcamp.

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Sammie Bae - JavaScript Data Structures and Algorithms: An Introduction to Understanding and Implementing Core Data Structure and Algorithm Fundamentals
JavaScript Data Structures and Algorithms: An Introduction to Understanding and Implementing Core Data Structure and Algorithm Fundamentals
Sammie Bae
JavaScript Data Structures and Algorithms: An Introduction to Understanding and Implementing Core Data Structure and Algorithm Fundamentals

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Contents
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Sammie Bae JavaScript Data Structures and Algorithms An Introduction to - photo 1
Sammie Bae
JavaScript Data Structures and Algorithms An Introduction to Understanding and Implementing Core Data Structure and Algorithm Fundamentals
Sammie Bae Hamilton ON Canada Any source code or other supplementary - photo 2
Sammie Bae
Hamilton, ON, Canada

Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the books product page, located at www.apress.com/9781484239872 . For more detailed information, please visit www.apress.com/source-code .

ISBN 978-1-4842-3987-2 e-ISBN 978-1-4842-3988-9
https://doi.org/10.1007/978-1-4842-3988-9
Library of Congress Control Number: 2019930417
Sammie Bae 2019
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.
While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.
Distributed to the book trade worldwide by Springer Science+Business Media New York, 233 Spring Street, 6th Floor, New York, NY 10013. Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail orders-ny@springer-sbm.com, or visit www.springeronline.com. Apress Media, LLC is a California LLC and the sole member (owner) is Springer Science + Business Media Finance Inc (SSBM Finance Inc). SSBM Finance Inc is a Delaware corporation.

This book is dedicated to Dr. Hamid R. Tizhoosh for inspiring me in my studies and to my mother, Min Kyoung Seo, for her kindness and support.

Introduction

The motivation for writing this book was the lack of resources available about data structures and algorithms written in JavaScript. This was strange to me because today many of the job opportunities for software development require knowledge of JavaScript; it is the only language that can be used to write the entire stack, including the front-end, mobile (native and hybrid) platforms, and back-end. It is crucial for JavaScript developers to understand how data structures work and how to design algorithms to build applications.

Therefore, this book aims to teach data structure and algorithm concepts from computer science for JavaScript rather than for the more typical Java or C++. Because JavaScript follows the prototypal inheritance pattern, unlike Java and C++ (which follow the inheritance pattern), there are some changes in writing data structures in JavaScript. The classical inheritance pattern allows inheritance by creating a blueprint-like form that objects follow during inheritance. However, the prototypal inheritance pattern means copying the objects and changing their properties.

This book first covers fundamental mathematics for Big-O analysis and then lays out the basic JavaScript foundations, such as primitive objects and types. Then, this book covers implementations and algorithms for fundamental data structures such as linked lists, stacks, trees, heaps, and graphs. Finally, more advanced topics such as efficient string search algorithms, caching algorithms, and dynamic programming problems are explored in great detail.

Acknowledgments

Thank you, Phil Nash, for the valuable feedback that helped me improve the technical content of this book with clear explanations and concise code.

Special thanks to the Apress team. This includes James Markham, Nancy Chen, Jade Scard, and Chris Nelson. Finally, I want to thank Steve Anglin for reaching out to me to publish with Apress.

Table of Contents
About the Author and About the Technical Reviewer
About the Author
Sammie Bae
is a data engineer at Yelp and previously worked for the data platform - photo 3

is a data engineer at Yelp and previously worked for the data platform engineering team at NVIDIA. He developed a deep interest in JavaScript during an internship at SMART Technologies (acquired by Foxconn), where he developed Node.js-based JavaScript APIs for serial port communication between electronic board drivers and a web application. Despite how relevant JavaScript is to the modern software engineering industry, currently no books besides this one teach algorithms and data structures using JavaScript. Sammie understands how difficult these computer science concepts are and aims to provide clear and concise explanations in this book.

About the Technical Reviewer
Phil Nash
is a developer evangelist for Twilio serving developer communities in London - photo 4

is a developer evangelist for Twilio, serving developer communities in London and all over the world. He is a Ruby, JavaScript, and Swift developer; Google Developers Expert; blogger; speaker; and occasional brewer. He can be found hanging out at meetups and conferences, playing with new technologies and APIs, or writing open source code.

Sammie Bae 2019
Sammie Bae JavaScript Data Structures and Algorithms https://doi.org/10.1007/978-1-4842-3988-9_1
1. Big-O Notation
Sammie Bae
(1)
Hamilton, ON, Canada

O(1) is holy.

Hamid Tizhoosh

Before learning how to implement algorithms, you should understand how to analyze the effectiveness of them. This chapter will focus on the concept of Big-O notation for time and algorithmic space complexity analysis. By the end of this chapter, you will understand how to analyze an implementation of an algorithm with respect to both time (execution time) and space (memory consumed).

Big-O Notation Primer

The Big-O notation measures the worst-case complexity of an algorithm. In Big-O notation, n represents the number of inputs. The question asked with Big-O is the following: What will happen as n approaches infinity?

When you implement an algorithm, Big-O notation is important because it tells you how efficient the algorithm is. Figure shows some common Big-O notations.
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