Book Image

Practical Python Programming for IoT

By : Gary Smart
Book Image

Practical Python Programming for IoT

By: Gary Smart

Overview of this book

The age of connected devices is here, be it fitness bands or smart homes. It's now more important than ever to understand how hardware components interact with the internet to collect and analyze user data. The Internet of Things (IoT), combined with the popular open source language Python, can be used to build powerful and intelligent IoT systems with intuitive interfaces. This book consists of three parts, with the first focusing on the "Internet" component of IoT. You'll get to grips with end-to-end IoT app development to control an LED over the internet, before learning how to build RESTful APIs, WebSocket APIs, and MQTT services in Python. The second part delves into the fundamentals behind electronics and GPIO interfacing. As you progress to the last part, you'll focus on the "Things" aspect of IoT, where you will learn how to connect and control a range of electronic sensors and actuators using Python. You'll also explore a variety of topics, such as motor control, ultrasonic sensors, and temperature measurement. Finally, you'll get up to speed with advanced IoT programming techniques in Python, integrate with IoT visualization and automation platforms, and build a comprehensive IoT project. By the end of this book, you'll be well-versed with IoT development and have the knowledge you need to build sophisticated IoT systems using Python.
Table of Contents (20 chapters)
1
Section 1: Programming with Python and the Raspberry Pi
6
Section 2: Practical Electronics for Interacting with the Physical World
9
Section 3: IoT Playground - Practical Examples to Interact with the Physical World

Creating your first IoT program

We are about to create a Python program to integrate with a service called dweet.io. This is how their website describes the service: "it's like Twitter for social machines."

We will create simple dweets, which are the dweet.io equivalent of a tweet, by pasting a URL into a web browser.

Our program will monitor and receive our dweets by polling a dweet.io RESTful API endpoint for data. As data is received, it will be parsed to find an instruction specifying whether our LED should be turned on or off or made to blink. Based on this instruction, our LED state will be changed using the GPIOZero library. We'll have a look at data format received from dweet.io when we discuss the program's code in a subsequent section titled Understanding the server code.

We're using the free public dweet.io service where all information is publicly accessible, so do not publish any sensitive data. There is...