Data Structures and Algorithms in JavaScript (Early Access)КНИГИ » ПРОГРАММИНГ
Название: Data Structures and Algorithms in javascript (Early Access) Автор: Federico Kereki Издательство: No Starch Press Год: 07/25/24 Страниц: 562 Язык: английский Формат: pdf (true) Размер: 10.1 MB
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.
Who Should Read This Book? This book is geared toward three groups of readers. The first and main group is javascript frontend (web) and backend (Node.js) developers, as it explores how we can apply data structures and algorithms to solve and optimize complex problems.
The second group of readers is computer science (CS) students, as the book covers topics that appear in most CS courses. These students should be familiar with several programming languages, so the javascript focus shouldn’t be a hindrance. The algorithms don’t heavily depend on aspects of the language and can be translated into other languages with little difficulty.
Finally, the third group of readers includes programmers who are preparing for coding interviews or are interested in competitive programming. These readers will profit from actual implementation of algorithms and data structures and from seeing examples of the kinds of questions they’ll encounter.
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