Data Structures and Algorithms in JavaScript

Federico Kereki

ISBN 10: 1718502621 / ISBN 13: 9781718502628

Published by Random House LLC US Jan 2025, 2025

About this Item

Neuware -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.

Seller Inventory # 9781718502628

Bibliographic Details

• Title: Data Structures and Algorithms in JavaScript
• Publisher: Random House LLC US Jan 2025
• Publication Date: 2025
• Language: English
• ISBN 10: 1718502621
• ISBN 13: 9781718502628
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 231W x 180H x 34D millimeters 231 millimeters width by 180 millimeters height by 34 millimeters depth
• Weight: 1100 grams

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.