Data Structures and Algorithms in Javascript: Optimizing perfomance and solving programming challenges

Data Structures and Algorithms in Javascript: Optimizing perfomance and solving programming challenges

Data Structures and Algorithms in Javascript: Optimizing perfomance and solving programming challenges
Автор: Kereki Federico
Дата выхода: 2025
Издательство: No Starch Press, Inc.
Количество страниц: 595
Размер файла: 10.5 MB
Тип файла: PDF
Добавил: codelibs
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Preface xxi
Acknowledgments . xxiii
Introduction xxv
PART I: THE BASICS....1
Chapter 1: Using JavaScript ....3
Chapter 2: Functional Programming in JavaScript ....23
Chapter 3: Abstract Data Types....37
Chapter 4: Analyzing Algorithms....49
PART II: ALGORITHMS ....61
Chapter 5: Designing Algorithms....63
Chapter 6: Sorting....91
Chapter 7: Selecting....121
Chapter 8: Shuffling and Sampling ....137
Chapter 9: Searching....159
PART III: DATA STRUCTURES....175
Chapter 10: Lists ....177
Chapter 11: Bags, Sets, and Maps ....203
Chapter 12: Binary Trees ....235
Chapter 13: Trees and Forests....283
Chapter 14: Heaps ....317
Chapter 15: Extended Heaps ....345
Chapter 16: Digital Search Trees....387
Chapter 17: Graphs....425
Chapter 18: Immutability and Functional Data Structures....469
Answer Key....487
Bibliography....545
Index ....549

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.


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