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

Learning MQTT by example

MQTT is a broker-based publishing and subscription messaging protocol (frequently paraphrased as pub/sub), while an MQTT broker (just like the Mosquitto MQTT broker we installed in the previous section) is a server that implements the MQTT protocol. By using an MQTT-based architecture, your applications can essentially hand off all complex messaging handling and routing logic to the broker so they can remain solution-focused.

MQTT clients (for example, your Python programs and the command-line tools we are about to use) create a subscription with the broker and subscribe to message topics they are interested in. Clients publish messages to a topic, and it is the broker that is then responsible for all message routing and delivery assurances. Any client may assume the role of a subscriber, a publisher, or both.

A simple conceptual MQTT-based system involving a pump, water tank, and controller application is illustrated in...