Data Structures and Algorithms in JavaScript

Federico Kereki

ISBN 10: 1718502621 / ISBN 13: 9781718502628

Published by No Starch Press,US, US, 2025

About this Item

For JavaScript developers, this book is a one-stop-shop for learning the algorithms and data structures that solve and optimize complex problems - covering everything from functional programming and abstract data types, to sorting and searching, lists, bags, binary trees, forests, heaps, and graphs. The author's use of examples taken from coding challenges and programming interviews enables you to explore the real-world advantages of specific algorithms and data structures. Written and illustrated to be a developer's go-to reference manual for immediate on-the-job applications, performance - both from a theoretical point of view and a practical standpoint - is emphasized alongside every algorithm or data structure introduced. In addition to demonstrating best practices throughout the text, each chapter ends with a series of questions and examples that clarify the preceding concepts. The book utilises the latest version of JavaScript (ECMAScript) and its more modern features wherever appropriate.

Seller Inventory # LU-9781718502628

Bibliographic Details

• Title: Data Structures and Algorithms in JavaScript
• Publisher: No Starch Press,US, US
• Publication Date: 2025
• Language: English
• ISBN 10: 1718502621
• ISBN 13: 9781718502628
• Binding: Paperback
• Condition: New

About this title

Synopsis

Not the Same Old JavaScript.

Think you know JavaScript? Think again. This isn’t your typical coding book—it’s a deep dive into the powerful world of data structures and algorithms that will transform the way you approach problem solving in JavaScript.

Whether you’re a frontend developer tackling complex applications, a backend engineer building scalable systems, or a programmer preparing for technical interviews, this book will revolutionize the way you code. 

Key features include:

• Modern JavaScript techniques: Use the latest language features and functional programming principles for cleaner, more efficient code.
• Performance-focused approach: Analyze and optimize algorithms using Big O notation.
• Essential algorithms explained: Implement and fine-tune core algorithms like quicksort, merge sort, digital search, and binary search.
• Algorithm design strategies: Solve challenging problems with techniques like recursion, dynamic programming, backtracking, and brute-force search.
• Advanced data structures: Explore complex structures such as binary search trees, heaps, and graphs.

Each chapter is carefully crafted with clear, no-nonsense explanations of complex concepts, real-world coding examples, and challenging questions (with answers at the end) to reinforce your understanding.

Ready to break free from ordinary JavaScript? Whether your aim is to build cutting-edge web applications, optimize critical systems, or land your dream job, this book equips you with the advanced JavaScript knowledge that sets true experts apart.

About the Author

Federico Kereki is a systems engineer with over three decades of experience as a consultant, developer, and educator. Currently a subject matter expert at Globant, he holds a master’s degree in education and has authored several books, including Mastering JavaScript Functional Programming. His work has appeared in Linux Journal, Linux Magazine, IBM DeveloperWorks, and other leading tech publications.