Overview
- Combines clear explanations of data structure and algorithm theory with practical code samples, examples and exercises, all specifically relevant to JavaScript
- Provides background information on object-oriented programming and native JavaScript concepts to help understand how everything fits together
- Illustrates how these theoretical computer science concepts ties back to practical applications in software engineering
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About this book
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.
You'll discover how to implement data structures such as hash tables, linked lists, stacks, queues, trees, and graphs. You'll 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 You'll 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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Keywords
Table of contents (20 chapters)
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Front Matter
Authors and Affiliations
About the author
Sammie Bae is a data engineer at Yelp and has 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, there were no books that taught algorithms and data structures using JavaScript. Sammie understands how difficult these computer science concepts are and aims to make clear and concise explanations.
Bibliographic Information
Book Title: JavaScript Data Structures and Algorithms
Book Subtitle: An Introduction to Understanding and Implementing Core Data Structure and Algorithm Fundamentals
Authors: Sammie Bae
DOI: https://doi.org/10.1007/978-1-4842-3988-9
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Sammie Bae 2019
Softcover ISBN: 978-1-4842-3987-2Published: 24 January 2019
eBook ISBN: 978-1-4842-3988-9Published: 23 January 2019
Edition Number: 1
Number of Pages: XXI, 357
Number of Illustrations: 136 b/w illustrations
Topics: Web Development