Book Image

Hands-On Data Structures and Algorithms with JavaScript

By : Kashyap Mukkamala
Book Image

Hands-On Data Structures and Algorithms with JavaScript

By: Kashyap 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 (16 chapters)
Title Page
Copyright and Credits
PacktPub.com
Contributors
Preface
5
Simplify Complex Applications Using Graphs
Index

Summary


There we have it, real-world web examples using stacksThe important thing to note in both examples is that the majority of the logic as expected does not revolve around the data structure itself. It is a supplementary component, that greatly simplifies access and protects your data from unintentional code smells and bugs.

In this chapter, we covered the basics of why we need a specific stack data structure instead of in-built arrays, simplifying our code using the said data structure, and noted the applications of the data structure. This is just the exciting beginning, and there is a lot more to come.

In the next chapter, we will explore the queues data structure along the same lines and analyze some additional performance metrics to check whether it's worth the hassle to build and/or use custom data structures.