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  • Book Overview & Buying Hands-On Data Structures and Algorithms with JavaScript
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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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Buy this Book
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Hands-On Data Structures and Algorithms with JavaScript

Hands-On Data Structures and Algorithms with JavaScript

4 (3)
By: Mukkamala
Buy this Book

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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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Get in touch
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1
Building Stacks for Application State Management
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Building Stacks for Application State Management
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Prerequisites
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Terminology
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API
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Don't we have arrays for this?
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Creating a stack
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Use cases
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Summary
2
Creating Queues for In-Order Executions
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Creating Queues for In-Order Executions
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Types of queue
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Implementing APIs
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Creating a queue
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Use cases for queues
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Comparing performance
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Summary
3
Using Sets and Maps for Faster Applications
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Using Sets and Maps for Faster Applications
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Exploring the origin of sets and maps
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Analyzing set and map types
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Sets versus WeakSets
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Use cases
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Performance comparison
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Summary
4
Using Trees for Faster Lookup and Modifications
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Using Trees for Faster Lookup and Modifications
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Creating an Angular application
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Creating a typeahead lookup
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Creating a credit card approval predictor
5
Simplify Complex Applications Using Graphs
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Simplify Complex Applications Using Graphs
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Types of graphs
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Use cases
6
Exploring Types of Algorithms
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Exploring Types of Algorithms
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Creating a Node.js application
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Use cases
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Summary
7
Sorting and Its Applications
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Sorting and Its Applications
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Types of sorting algorithms
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Use cases of different sorting algorithms
8
Big O Notation, Space, and Time Complexity
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Big O Notation, Space, and Time Complexity
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Terminology
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Examples of time complexity
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Space complexity and Auxiliary space
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Micro-Optimizations and Memory Management
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Micro-Optimizations and Memory Management
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Best practices
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HTML optimizations
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CSS optimizations
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JavaScript optimizations
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Summary
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What's next?
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Other Books You May Enjoy
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Other Books You May Enjoy
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Using Sets and Maps for Faster Applications

Sets and maps are two notoriously simple-looking data structures, that have been standardized in the latest version of ES6. 

In this chapter, we will cover the following topics:

  • Why do we need sets and maps?
  • When and how to use sets and maps
  • ES6 API of sets and maps
  • Use cases
  • A performance comparison
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Tech Concepts
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Programming languages
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