Könyv JavaScript Data Structures and Algorithms Sammie Bae

JavaScript Data Structures and Algorithms

Szerző: Sammie Bae
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: APress
Elérhetőség: Raktáron alacsony példányszámban
Küldés 24 órán belül
9 011 Ft
Explore data structures and algorithm concepts relevant to JavaScript and their relation to everyday...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2019
oldal
357
EAN
9781484239872
ISBN
1484239873
Enbook ID
20079105
Kiadó
Súly
708
Méretek
253 x 180 x 20

Teljes leírás

Explore data structures and algorithm concepts relevant to JavaScript and their relation to everyday JavaScript development. It is crucial for JavaScript developers to understand how data structures work and how to design algorithms, and this book and the accompanying code provide that essential foundation. 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. A basic understanding of these ideas is essential to any JavaScript developer wishing to analyze and build great software solutions - JavaScript Data Structures and Algorithms will encourage you to start developing your knowledge and applying it to your JavaScript projects today. What You'll Learn Review 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.

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