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 1

  1. To keep your project-specific Python packages and dependencies isolated from other projects and the system-level Python packages.
  2. No. You can always regenerate a virtual environment and reinstall packages.
  3. To keep a list of all the Python packages (and versions) that your Python projects rely on. Having a maintained requirements.txt file allows you to reinstall all packages easily with the command pip install -r requirements.txt.
  4. Make sure you are using the absolute path to the Python interpreter that is in the bin folder of your virtual environment.
  5. It activates a virtual environment so that all users of Python and pip are sandboxed to the virtual environment.
  6. deactivate. If you type exit (and we all do it sometimes!), it exits the Terminal window or closes your remote SSH session! Grrrrr.
  7. Yes, just change into the projects folder and activate the virtual environment.
  8. Python IDLE, but remember you need to use python -m idlelib.idle [filename] & in a virtual...