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

Creating PWM signals

Different GPIO libraries approach PWM signal generation in different ways. Three common techniques are as follows:

  • Software PWM: The frequency and duty cycle timing of a PWM signal are produced in code and can be made available on any GPIO pin. This is the least accurate method of creating PWM signals because the timing can be adversely affected by a busy Raspberry Pi CPU.
  • Hardware-timed PWM: The PWM timing is performed using DMA and PWM/PCM hardware peripherals. It's highly accurate and is available on any GPIO pin.
  • Hardware PWM: Hardware PWM is provided entirely via hardware and is the most accurate method of creating PWM signals. The Raspberry Pi has two dedicated hardware PWM channels, labeled PWM0 via GPIO pins 18 and 12 and PWM1 via GPIO pins 13 and 19 (refer to Figure 5.1).
It's not enough to just connect something to GPIOs 12, 13, 18, or 19 in order to get hardware PWM. These GPIOs are the BCM GPIOs that have PWM listed...