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You'll discover how to implement data structures such as hash tables, linked lists, stacks, queues, trees, and graphs. You'll also learn how a URL shortener, such as bit.ly, is developed and what is happening to the data as a PDF is uploaded to a webpage. This book covers the practical applications of data structures and algorithms to encryption, searching, sorting, and pattern matching. It is crucial for JavaScript developers to understand how data structures work and how to design algorithms. This book and the accompanying code provide that essential foundation for doing so. With JavaScript Data Structures and Algorithms you can start developing your knowledge and applying it to your JavaScript projects today.
What You'll LearnReview core data structure fundamentals: arrays, linked-lists, trees, heaps, graphs, and hash-table
Review core algorithm fundamentals: search, sort, recursion, breadth/depth first search, dynamic programming, bitwise operators
Examine how the core data structure and algorithms knowledge fits into context of JavaScript explained using prototypical inheritance and native JavaScript objects/data types
Take a high-level look at commonly used design patterns in JavaScript
Who This Book Is For
Existing web developers and software engineers seeking to develop or revisit their fundamental data structures knowledge; beginners and students studying JavaScript independently or via a course or coding bootcamp.
You'll discover how to implement data structures such as hash tables, linked lists, stacks, queues, trees, and graphs. You'll also learn how a URL shortener, such as bit.ly, is developed and what is happening to the data as a PDF is uploaded to a webpage. This book covers the practical applications of data structures and algorithms to encryption, searching, sorting, and pattern matching. It is crucial for JavaScript developers to understand how data structures work and how to design algorithms. This book and the accompanying code provide that essential foundation for doing so. With JavaScript Data Structures and Algorithms you can start developing your knowledge and applying it to your JavaScript projects today.
What You'll LearnReview core data structure fundamentals: arrays, linked-lists, trees, heaps, graphs, and hash-table
Review core algorithm fundamentals: search, sort, recursion, breadth/depth first search, dynamic programming, bitwise operators
Examine how the core data structure and algorithms knowledge fits into context of JavaScript explained using prototypical inheritance and native JavaScript objects/data types
Take a high-level look at commonly used design patterns in JavaScript
Who This Book Is For
Existing web developers and software engineers seeking to develop or revisit their fundamental data structures knowledge; beginners and students studying JavaScript independently or via a course or coding bootcamp.
Combines clear explanations of data structure and algorithm theory with practical code samples, examples and exercises, all specifically relevant to JavaScript
Provides background information on object-oriented programming and native JavaScript concepts to help understand how everything fits together
Illustrates how these theoretical computer science concepts ties back to practical applications in software engineering
1. Big-O Notation
2. JavaScript: Unique Parts
3. JavaScript Numbers
4. JavaScript Strings
5. JavaScript Arrays
6. JavaScript Objects
7. JavaScript Memory Management
8. Recursion
9. Sets
10. Searching and Sorting
11. Hash Tables
12. Stacks and Queues
13. Linked Lists
14. Caching
15. Trees
16. Heaps
17. Graphs
18. Advanced Strings
19. Dynamic Programming
20. Bit Manipulation
| Erscheinungsjahr: | 2019 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 357 |
| Inhalt: |
xxi
357 S. 136 s/w Illustr. 357 p. 136 illus. |
| ISBN-13: | 9781484239872 |
| ISBN-10: | 1484239873 |
| Sprache: | Englisch |
| Herstellernummer: | 978-1-4842-3987-2 |
| Einband: | Kartoniert / Broschiert |
| Autor: | Bae, Sammie |
| Hersteller: |
APRESS L.P.
aPress |
| Abbildungen: | Bibliographie |
| Maße: | 254 x 178 x 21 mm |
| Von/Mit: | Sammie Bae |
| Erscheinungsdatum: | 24.01.2019 |
| Gewicht: | 0,713 kg |
Combines clear explanations of data structure and algorithm theory with practical code samples, examples and exercises, all specifically relevant to JavaScript
Provides background information on object-oriented programming and native JavaScript concepts to help understand how everything fits together
Illustrates how these theoretical computer science concepts ties back to practical applications in software engineering
1. Big-O Notation
2. JavaScript: Unique Parts
3. JavaScript Numbers
4. JavaScript Strings
5. JavaScript Arrays
6. JavaScript Objects
7. JavaScript Memory Management
8. Recursion
9. Sets
10. Searching and Sorting
11. Hash Tables
12. Stacks and Queues
13. Linked Lists
14. Caching
15. Trees
16. Heaps
17. Graphs
18. Advanced Strings
19. Dynamic Programming
20. Bit Manipulation
| Erscheinungsjahr: | 2019 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 357 |
| Inhalt: |
xxi
357 S. 136 s/w Illustr. 357 p. 136 illus. |
| ISBN-13: | 9781484239872 |
| ISBN-10: | 1484239873 |
| Sprache: | Englisch |
| Herstellernummer: | 978-1-4842-3987-2 |
| Einband: | Kartoniert / Broschiert |
| Autor: | Bae, Sammie |
| Hersteller: |
APRESS L.P.
aPress |
| Abbildungen: | Bibliographie |
| Maße: | 254 x 178 x 21 mm |
| Von/Mit: | Sammie Bae |
| Erscheinungsdatum: | 24.01.2019 |
| Gewicht: | 0,713 kg |
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