Hands-On Data Structures and Algorithms with JavaScript

Hands-On Data Structures and Algorithms with JavaScriptReviews
Author: Kashyap Mukkamala
Pub Date: 2018
ISBN: 978-1788398558
Pages: 332
Language: English
Size: 45 Mb


Hands-On Data Structures and Algorithms with JavaScript: Write efficient code that is highly performant, scalable, and easily testable using JavaScript
Increase your productivity by implementing complex data structures and algorithms using JavaScript
Data structures and algorithms are the fundamental building blocks of computer programming. They are critical to any problem, provide a complete solution, and act like reusable code. Using appropriate data structures and having a good understanding of algorithm analysis are key in JavaScript to solving crises and ensuring your application is less prone to errors.
Do you want to build applications that are high-performing and fast? Are you looking for complete solutions to implement complex data structures and algorithms in a practical way? If either of these questions rings a bell, then this book is for you!
You’ll start by building stacks and understanding performance and memory implications. You will learn how to pick the right type of queue for the application. You will then use sets, maps, trees, and graphs to simplify complex applications. You will learn to implement different types of sorting algorithm before gradually calculating and analyzing space and time complexity. Finally, you’ll increase the performance of your application using micro optimizations and memory management.
By the end of the book you will have gained the skills and expertise necessary to create and employ various data structures in a way that is demanded by your project or use case.
What You Will Learn

  • Build custom Back buttons embedded within your application
  • Build part of a basic JavaScript syntax parser and evaluator for an online IDE
  • Build a custom activity user tracker for your application
  • Generate accurate recommendations for credit card approval using Decision Trees
  • Simplify complex problems using a graphs
  • Increase the performance of an application using micro-optimizations