Practical Python Programming for IoT: Build advanced IoT projects using a Raspberry Pi 4, MQTT, RESTful APIs, WebSockets, and Python 3, 1st Edition
Leverage Python and Raspberry Pi to create complex IoT applications capable of creating and detecting movement, as well as measuring distance, light, and a host of other environmental conditions.
Key Features
- Learn the fundamentals of electronics and how to integrate them with a Raspberry Pi.
- Understand how to build RESTful APIs, WebSocket APIs, and MQTT-based applications
- Explore alternative approaches to structuring IoT applications with Python.
Book Description
The age of connected devices, be it fitness bands or smart homes, is here. It's now more important than ever to understand how hardware components interact with the internet to collect and analyze user data. You can build powerful and intelligent IoT systems with intuitive interfaces by combining the Internet of Things (IoT) with the popular open-source language Python.
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 in IoT development and have the knowledge you need to build sophisticated IoT systems using Python.
What you will learn
- Understand the electronic interaction with the Raspberry Pi from scratch.
- Gain knowledge of building sensor and actuator electronic circuits.
- Structure your code in Python using Async IO, pub/sub-models, and more.
- Automate real-world IoT projects using sensor and actuator integration.
- To enable automation, integrate electronics with Thingspeak and IFTTT.
- Build and use RESTful APIs, WebSockets, and MQTT with sensors and actuators.
- Set up a Raspberry Pi and Python development environment for IoT projects.
Who this book is for
This IoT Python book is for application developers, IoT professionals, or anyone interested in building IoT applications using the Python programming language. It will also be particularly helpful for mid- to senior-level software engineers who are experienced in desktop, web, and mobile development but have little to no experience in electronics, physical computing, and IoT.
Table of Contents
- Setting up your development environment
- Getting started with Python and IoT
- Networking with RESTful APIs and Web Sockets using Flask
- Networking with MQTT, Python, and the Mosquitto MQTT Broker
- Connecting your Raspberry Pi to the physical world
- Electronics 101 for the Software Engineer
- Turning things on and off
- Lights, indicators, and information displays
- Measuring temperature, humidity, and light levels
- Moving with Servos, Motors, and Steppers
- Detecting movement and measuring distance
- Advanced IoT Programming Concepts: Threads, AsyncIO, and Event Loops
- Platforms for IoT visualization and automation
- Tying it all together: An IoT Christmas Tree
About the Author
Gary Smart is a senior software engineer with expertise in IoT and integration. Gary's IT career began with the birth of the World Wide Web and has grown in line with the Internet and emerging technologies ever since, including the rise of mobile phones and tablets, embedded technologies, SaaS, and business migration to the cloud, as well as the IoT revolution in recent years. Gary's practical experience includes both technical and management positions, as well as experience in both small and large organizations, including Hewlett-Packard, Deakin University, and Pacific Hydro-Tango, boutique consulting firms, and innovative internet and IoT start-ups.
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