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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer programming / software development Web programming

• Full title: JavaScript Data Structures and Algorithms
• Author: Sammie Bae
• Language: English
• Binding: Paperback
• Number of pages: 357
• EAN: 9781484239872
• ISBN: 1484239873
• ID: 20079105
• Publisher: APress
• Weight: 708 g
• Dimensions: 180 × 253 × 20 mm
• Date of publishing: 24. January 2019

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