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Data Structures and Algorithms in JavaScript

Код: 302634
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Характеристики и описание

ISBN978-1718502628
АвторFederico Kereki
Год2025
ИздательствоNo Starch Press
Страниц592
ЯзыкАнглийский
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 AuthorFederico 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.

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