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

Exploring remote GPIO with PiGPIO (and GPIOZero)

Once you have started the pigpiod service on a Raspberry Pi (covered in Chapter 1, Setting Up Your Development Environment), there are two ways to make your code remote, and by remote, I mean that your program code can be running on any computer (not just a Raspberry Pi) and control a remote Raspberry Pi's GPIOs.

Method 1: This method involves passing the remote Raspberry Pi's IP or host address to the PiGPIO constructor. Using this approach, you can also interface with multiple Raspberry Pi GPIOs by just creating additional instances of pigpio.pi(). For instance, in the following example, any methods called on the pi instance will be executed on the 192.168.0.4 host that has the pigpiod service running:

# Python Code.
pi = pigpio.pi('192.168.0.4', 8888) # Remote host and port (8888 is default if omitted)

Method 2: A second method involves setting an environment variable on the computer and running your Python...