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Internet of Things with Python

You're reading from   Internet of Things with Python Create exciting IoT solutions

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781785881381
Length 388 pages
Edition 1st Edition
Languages
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Author (1):
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Gaston C. Hillar Gaston C. Hillar
Author Profile Icon Gaston C. Hillar
Gaston C. Hillar
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Table of Contents (13) Chapters Close

Preface 1. Understanding and Setting up the Base IoT Hardware 2. Working with Python on Intel Galileo Gen 2 FREE CHAPTER 3. Interacting with Digital Outputs with Python 4. Working with a RESTful API and Pulse Width Modulation 5. Working with Digital Inputs, Polling and Interrupts 6. Working with Analog Inputs and Local Storage 7. Retrieving Data from the Real World with Sensors 8. Displaying Information and Performing Actions 9. Working with the Cloud 10. Analyzing Huge Amounts of Data with Cloud-based IoT Analytics A. Exercise Answers Index

Summary

In this chapter, we understood the close relationship between Internet of Things and Big Data. We worked with a cloud-based service that allowed us to organize huge amounts of data collected by multiple devices and their sensors. We took advantage of the requests package to write a few lines of Python code that could interact with the Intel IoT Analytics REST API.

We used the Intel IoT Analytics web site to set up a device and its components. Then, we made changes to one of our examples to collect data from the sensors and publish observations to Intel IoT Analytics. Then, we learned about the different options that Intel IoT Analytics offers us to analyze huge amounts of data. Finally, we defined rules that triggered alerts. Now that we are able to take advantage of Intel IoT Analytics to analyze huge amounts of data, we are ready to deploy thousands of IoT devices that collect data from multiple sensors.

We learned to use Python and the Intel Galileo Gen 2 board to create low cost...

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