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

Chapter 12 

  1. A publish-subscribe approach promotes a highly decoupled approach to programming. This can be beneficial when you have many components (for example, sensors) publishing data that simply needs to be consumed elsewhere in your program.
  2. GIL stands for Global Interpreter Lock. It's a design aspect of the Python programming language that means only one thread ever has access to the Python interpreter at a time.
  1. A pure event loop (for example, one long while loop) can get complex as your program grows. The need for many state variables and non-trivial and intervening conditional tests (for example, if statements) can make the program logic hard to follow and debug.
  2. No. Every approach has its purpose. Event loops are fine when they are small and focused. It's only when they become large and are performing multiple actions that they become complex.
  3. When you are programming with threads, calling join() on another thread...