Data Structures and Algorithms in JavaScript

Data Structures and Algorithms in JavaScript
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 understand
PRP: 387.53 Lei

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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 understand
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