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Practical Node-RED Programming

Practical Node-RED Programming

By : Taiji Hagino
3.9 (9)
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Practical Node-RED Programming

Practical Node-RED Programming

3.9 (9)
By: Taiji Hagino

Overview of this book

Node-RED is a free and open source flow-based programming tool used to handle IoT data that allows programmers of any level to interconnect physical I/O, cloud-based systems, databases, and APIs to build web applications without code. Practical Node-RED Programming is a comprehensive introduction for anyone looking to get up to speed with the Node-RED ecosystem in no time. Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will help you to become well versed in the foundations of Node-RED. You’ll learn how to use Node-RED to handle IoT data and build web applications without having to write complex code. Once you’ve covered the basics, you’ll explore various visual programming techniques and find out how to make sample flows as you cover web development, IoT development, and cloud service connections, and finally build useful real-world applications. By the end of this book, you’ll have learned how to use Node-RED to develop a real-world application from scratch, which can then be implemented in your business.
Table of Contents (19 chapters)
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1
Section 1: Node-RED Basics
6
Section 2: Mastering Node-RED
11
Section 3: Practical Matters

To get the most out of this book

You will need Node-RED version 1.2 or later, Node.js version 12 or later, npm version 6 or later, and preferably the latest minor version installed on your computer. But this is the case when running Node-RED in a local environment. In the case of running on IBM Cloud, which is one of the tutorials in this book, it depends on the environment of the cloud platform. All code examples have been tested on macOS, Windows, and Raspberry Pi OS, but some chapters have command-line instructions based on macOS.

If you are using the digital version of this book, we advise you to type the code yourself or access the code via the GitHub repository (link available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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