Book Image

Internet of Things with Python

By : Gaston C. Hillar
Book Image

Internet of Things with Python

By: Gaston C. Hillar

Overview of this book

Internet of Things (IoT) is revolutionizing the way devices/things interact with each other. And when you have IoT with Python on your side, you'll be able to build interactive objects and design them. This book lets you stay at the forefront of cutting-edge research on IoT. We'll open up the possibilities using tools that enable you to interact with the world, such as Intel Galileo Gen 2, sensors, and other hardware. You will learn how to read, write, and convert digital values to generate analog output by programming Pulse Width Modulation (PWM) in Python. You will get familiar with the complex communication system included in the board, so you can interact with any shield, actuator, or sensor. Later on, you will not only see how to work with data received from the sensors, but also perform actions by sending them to a specific shield. You'll be able to connect your IoT device to the entire world, by integrating WiFi, Bluetooth, and Internet settings. With everything ready, you will see how to work in real time on your IoT device using the MQTT protocol in python. By the end of the book, you will be able to develop IoT prototypes with Python, libraries, and tools.
Table of Contents (19 chapters)
Internet of Things with Python
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
Index

Understanding the Intel IoT Analytics structure


Imagine that we have to collect and analyze sensor data for 3,000 IoT devices, that is, 3,000 Intel Galileo Gen 2 boards running the Python code that interacts with sensors. We would need to invest in the storage and processing capacity to perform IoT analytics with such a huge amount of data. Whenever we have a similar requirement, we can take advantage of a cloud-based solution. Intel IoT Analytics is one of them and it works very well with the Intel Galileo Gen 2 board and Python.

Intel IoT Analytics requires us to sign up, create an account with a valid e-mail and a password, and click on the activation link of a confirmation e-mail before we can publish the sensor data using their free services. We aren't required to enter any credit card or payment information. If you already have an account at Intel IoT Analytics, you can skip this step. You can also use your existing Facebook, Google+, or GitHub account to log in. The following is the...