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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

Using the I2C bus to control a digital accelerometer with the mraa library


Sometimes, the features included in the upm library for a specific sensor do not include all of its possible usages and configurations. An example of this situation is the upmAdxl345.Adxl345 class that we used in our previous example. This class doesn't allow us to configure the desired scale for the accelerometer while the sensor supports the following four selectable measurement ranges: ±2g, ±4g, ±8g and ±16g. If we want to use specific features that aren't included in the upm module, we can use the appropriate mraa class to interact with the sensor, in this case, we can use mraa.I2c to control the digital accelerometer through the I2C bus.

We will use the C++ source code for the upm module as a baseline to write our own Python code that controls the accelerometer through the I2C bus using the mraa.I2c class. The C++ source code file is adxl1345.cxx and it can be found in the following GitHub URL: http://github.com...

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