Download This PDF Book: JavaScript Data Structures and Algorithms: An Introduction to Understanding and Implementing Core Data Structure and Algorithm Fundamentals 1st ed. Edition by Sammie Bae,for free.
Explore data structures and algorithm concepts and their relation to everyday JavaScript development. A basic understanding of these ideas is essential to any JavaScript developer wishing to analyze and build great software solutions.
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 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.
From the Back Cover
Explore data structures and algorithm concepts and their relation to everyday JavaScript development. A basic understanding of these ideas is essential to any JavaScript developer wishing to analyze and build great software solutions.
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.
About the Author
Sammie Bae is a data engineer at Yelp and has worked for the data platform engineering team at NVIDIA. He developed a deep interest in JavaScript during an internship at SMART Technologies (acquired by Foxconn), where he developed Node.js-based JavaScript APIs for serial port communication between electronic board drivers and a web application.
Despite how relevant JavaScript is to the modern software engineering industry, there were no books that taught algorithms and data structures using JavaScript. Sammie understands how difficult these computer science concepts are and aims to make clear and concise explanations.
Contents:
Chapter 1: Big-O Notation
Chapter 2: JavaScript: Unique Parts
Chapter 3: JavaScript Numbers
Chapter 4: JavaScript Strings
Chapter 5: JavaScript Arrays
Chapter 6: JavaScript Objects
Chapter 7: JavaScript Memory Management
Chapter 8: Recursion
Chapter 9: Sets
Chapter 10: Searching and Sorting
Chapter 11: Hash Tables
Chapter 12: Stacks and Queues
Chapter 13: Linked Lists
Chapter 14: Caching
Chapter 15: Trees
Chapter 16: Heaps
Chapter 17: Graphs
Chapter 18: Advanced Strings
Chapter 19: Dynamic Programming
Chapter 20: Bit Manipulation
About The Book:
Publisher : Apress; 1st ed. edition (January 24, 2019)
Language : English
Pages : 362
File : PDF, 9MB
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