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 an AsyncIO approach

So far in this chapter, we have seen three different programming approaches to achieving the same end goal. Our fourth and final approach will be built using the AsyncIO libraries offered by Python 3. As we will see, this approach shares similarities and differences with our previous approaches, and also adds an extra dimension to our code and how it operates.

Speaking from my own experience, this approach can feel complex, cumbersome, and confusing the first time you experience asynchronous programming in Python. Yes, there is a steep learning curve to asynchronous programming (and we can only barely scratch the surface in this section). However, as you learn to master the concepts and gain practical experience, you may start to discover that it is an elegant and graceful way to create programs!

If you are new to asynchronous programming in Python, you will find curated tutorial links in the Further reading section to deepen your learning. It is...