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Hands-On Data Structures and Algorithms with JavaScript

Hands-On Data Structures and Algorithms with JavaScript

By : Mukkamala
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Hands-On Data Structures and Algorithms with JavaScript

Hands-On Data Structures and Algorithms with JavaScript

4 (3)
By: Mukkamala

Overview of this book

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.
Table of Contents (11 chapters)
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5
Simplify Complex Applications Using Graphs

Performance comparison

In this section, we will compare the performance of sets and maps against their counterparts: arrays and objects. As mentioned in earlier chapters, the main goal of doing a comparison is not to know that the data structures are superior to their native counterparts but to understand their limitations and ensure that we make an informed decision when trying to use them. 

It's very important to take benchmarks with a grain of salt. Benchmarking tools often use engines such as V8, which are built and optimized to run in a way that is very different from some other web-based engines. This may cause the results to be a little skewed based on the environment in which your application runs.

We will need to do some initial set up to run our performance benchmark. To create a Node.js project, go to a Terminal and run the following command:

mkdir performance...
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Hands-On Data Structures and Algorithms with JavaScript
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