Название: Data Structures and Algorithms in jаvascript (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 jаvascript.
Think you know jаvascript? 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 jаvascript. 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 jаvascript 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 jаvascript? 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 jаvascript 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 jаvascript 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 jаvascript 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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