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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 (23 chapters)
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Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

Sensing and sending data to online services


In this section, we shall make use of an online service called Xively. The service allows us to connect, transmit, and view data online. Xively makes use of a common protocol that is used for transferring information over HTTP called REpresentational State Transfer (REST). REST is used by many services, such as Facebook and Twitter, using various keys and access tokens to ensure data is transferred securely between authorized applications and verified sites.

You can perform most REST operations (methods such as POST, GET, SET, and so on) manually using a Python library called requests (http://docs.python-requests.org).

However, it is often easier to make use of specific libraries available for the service you intend to use. They will handle the authorization process and provide access functions, and if the service changes, the library can be updated rather than your code.

We will use the xively-python library, which provides Python functions to allow...

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