/Redux-Quick-Start-Guide

Redux Quick Start Guide, Published by Packt

Primary LanguageJavaScriptMIT LicenseMIT

Redux Quick Start Guide

Redux Quick Start Guide

This is the code repository for Redux Quick Start Guide, published by Packt.

A beginner's guide to managing app state with Redux

What is this book about?

Starting with a detailed overview of Redux, we will follow the test-driven development (TDD) approach to develop single-page applications. We will set up JEST for testing and use JEST to test React, Redux, Redux-Sage, Reducers, and other components. We will then add important middleware and set up immutableJS in our application. We will use common data structures such as Map, List, Set, and OrderedList from the immutableJS framework. We will then add user interfaces using ReactJS, Redux-Form, and Ant Design.

This book covers the following exciting features:

  • Follow the test-driven development (TDD) approach to develop a single-page application
  • Add important middleware, such as Redux store middleware, redux-saga middleware, and language middleware, to your application
  • Understand how to use immutableJS in your application
  • Build interactive components using ReactJS
  • Configure react-router-redux and explore the differences between react-router-dom and react-router-redux

If you feel this book is for you, get your copy today!

https://www.packtpub.com/

Instructions and Navigations

All of the code is organized into folders. For example, Chapter02.

The code will look like the following:

import { BrowserRouter } from 'react-router-dom';
ReactDOM.render(
<BrowserRouter>
<App />
</BrowserRouter>,
document.getElementById('root')
);

Following is what you need for this book: This book is meant for JavaScript developers interesting in learning state management and building easy to maintain web applications.

With the following software and hardware list you can run all code files present in the book (Chapter 1-8).

Software and Hardware List

Chapter Software required OS required
1-5 node.js Windows, Mac OS X
6,7 MongoDB Windows, Mac OS X
8 Yarn Windows, Mac OS X

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Get to Know the Authors

James Lee is a passionate software wizard working at one of the top Silicon Valley-based start-ups specializing in big data analysis. He has also worked at Google and Amazon. In his day job, he works with big data technologies, including Cassandra and Elasticsearch, and is an absolute Docker geek and IntelliJ IDEA lover. Apart from his career as a software engineer, he is keen on sharing his knowledge with others and guiding them, especially in relation to start-ups and programming. He has been teaching courses and conducting workshops on Java programming / IntelliJ IDEA since he was 21. James also enjoys skiing and swimming, and is a passionate traveler.

Tao Wei is a passionate software engineer who works in a leading Silicon Valley-based big data analysis company. Previously, Tao worked in big IT companies, including IBM and Cisco. He has intensive experience in designing and building distributed, large-scale systems with proven high availability and reliability. Tao has an MS degree in computer science from McGill University and many years' experience as a teaching assistant in a variety of computer science classes. In his spare time, he enjoys reading and swimming, and is a passionate photographer.

Suresh Kumar Mukhiya is a PhD candidate, currently affiliated to the Western Norway University of Applied Sciences (HVL). He is a big data enthusiast, specializing in information systems, model-driven software engineering, big data analysis, and artificial intelligence. He has completed a Masters in information systems from the Norwegian University of Science and Technology, along with a thesis in processing mining. He also holds a bachelor's degree in computer science and information technology (BSc.CSIT) from Tribhuvan University, Nepal, where he was decorated with the Vice-Chancellor's Award for obtaining the highest score. He is a passionate photographer and enjoys traveling.

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Download a free PDF

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.

https://packt.link/free-ebook/9781789610086