Book Image

Getting Started with Python for the Internet of Things

By : Tim Cox, Steven Lawrence Fernandes, Sai Yamanoor, Srihari Yamanoor, Prof. Diwakar Vaish
Book Image

Getting Started with Python for the Internet of Things

By: Tim Cox, Steven Lawrence Fernandes, Sai Yamanoor, Srihari Yamanoor, Prof. Diwakar Vaish

Overview of this book

This Learning Path takes you on a journey in the world of robotics and teaches you all that you can achieve with Raspberry Pi and Python. It teaches you to harness the power of Python with the Raspberry Pi 3 and the Raspberry Pi zero to build superlative automation systems that can transform your business. You will learn to create text classifiers, predict sentiment in words, and develop applications with the Tkinter library. Things will get more interesting when you build a human face detection and recognition system and a home automation system in Python, where different appliances are controlled using the Raspberry Pi. With such diverse robotics projects, you'll grasp the basics of robotics and its functions, and understand the integration of robotics with the IoT environment. By the end of this Learning Path, you will have covered everything from configuring a robotic controller, to creating a self-driven robotic vehicle using Python. • Raspberry Pi 3 Cookbook for Python Programmers - Third Edition by Tim Cox, Dr. Steven Lawrence Fernandes • Python Programming with Raspberry Pi by Sai Yamanoor, Srihari Yamanoor • Python Robotics Projects by Prof. Diwakar Vaish
Table of Contents (37 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Displaying photo information in an application


In this example, we shall create a utility class to handle photos that can be used by other applications (as modules) to access photo metadata and display preview images easily.

Getting ready

The following script makes use of Python Image Library (PIL); a compatible version for Python 3 is Pillow.

Pillow has not been included in the Raspbian repository (used by apt-get); therefore, we will need to install Pillow using a Python Package Manager called PIP.

To install packages for Python 3, we will use the Python 3 version of PIP (this requires 50 MB of available space).

The following commands can be used to install PIP:

sudo apt-get updatesudo apt-get install python3-pip

Before you use PIP, ensure that you have installed libjpeg-dev to allow Pillow to handle JPEG files. You can do this using the following command:

sudo apt-get install libjpeg-dev

Now you can install Pillow using the following PIP command:

sudo pip-3.2 install pillow

PIP also makes it easy...