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Raspberry Pi 3 Cookbook for Python Programmers

Raspberry Pi 3 Cookbook for Python Programmers

By : Steven Lawrence Fernandes, Tim Cox
3.8 (10)
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Raspberry Pi 3 Cookbook for Python Programmers

Raspberry Pi 3 Cookbook for Python Programmers

3.8 (10)
By: Steven Lawrence Fernandes, Tim Cox

Overview of this book

Raspberry Pi 3 Cookbook for Python Programmers – Third Edition begins by guiding you through setting up Raspberry Pi 3, performing tasks using Python 3.6, and introducing the first steps to interface with electronics. As you work through each chapter, you will build your skills and apply them as you progress. You will learn how to build text classifiers, predict sentiments in words, develop applications using the popular Tkinter library, and create games by controlling graphics on your screen. You will harness the power of a built in graphics processor using Pi3D to generate your own high-quality 3D graphics and environments. You will understand how to connect Raspberry Pi’s hardware pins directly to control electronics, from switching on LEDs and responding to push buttons to driving motors and servos. Get to grips with monitoring sensors to gather real-life data, using it to control other devices, and viewing the results over the internet. You will apply what you have learned by creating your own Pi-Rover or Pi-Hexipod robots. You will also learn about sentiment analysis, face recognition techniques, and building neural network modules for optical character recognition. Finally, you will learn to build movie recommendations system on Raspberry Pi 3.
Table of Contents (17 chapters)
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Reading analog data using an analog-to-digital converter


The I2C tools (used in the previous section) are very useful for debugging I2C devices in the command line, but they are not practical for use within Python, as they would be slow and require significant overhead to use. Fortunately, there are several Python libraries that provide I2C support, allowing the efficient use of I2C to communicate with connected devices and providing easy operation.

We will use such a library to create our own Python module that will allow us to quickly and easily obtain data from the ADC device and use it in our programs. The module is designed in such a way that other hardware or data sources may be put in its place without impacting the remaining examples.

Getting ready

To use the I2C bus using Python 3, we will use Gordon Henderson's WiringPi2 (see http://wiringpi.com/ for more details).

The easiest way to install wiringpi2 is by using pip for Python 3. The pip is a package manager for Python that works...

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