Book Image

MicroPython Projects

By : Jacob Beningo
Book Image

MicroPython Projects

By: Jacob Beningo

Overview of this book

With the increasing complexity of embedded systems seen over the past few years, developers are looking for ways to manage them easily by solving problems without spending a lot of time on finding supported peripherals. MicroPython is an efficient and lean implementation of the Python 3 programming language, which is optimized to run on microcontrollers. MicroPython Projects will guide you in building and managing your embedded systems with ease. This book is a comprehensive project-based guide that will help you build a wide range of projects and give you the confidence to design complex projects spanning new areas of technology such as electronic applications, automation devices, and IoT applications. While building seven engaging projects, you'll learn how to enable devices to communicate with each other, access and control devices over a TCP/IP socket, and store and retrieve data. The complexity will increase progressively as you work on different projects, covering areas such as driver design, sensor interfacing, and MicroPython kernel customization. By the end of this MicroPython book, you'll be able to develop industry-standard embedded systems and keep up with the evolution of the Internet of Things.
Table of Contents (14 chapters)
11
Downloading and Running MicroPython Code

The advancing MicroPython

The greatest advantage that MicroPython currently has going for it is that Python, in general, has become one of the most popular programming languages in the world. Whether you are working in the cloud or at the edge, with a Windows or with a Linux machine, Python can be found there. There are Python libraries for serial communication, analyzing data, creating graphical user interfaces, analyzing images, and running machine learning inferences, just to name a few. Python is widely supported and has a fantastic ecosystem surrounding it.

All the advantages that you can think of for Python can also be applied to MicroPython, in addition to several additional advantages including the following:

  • Abstracting the low-level electronics
  • Lowering the barrier to entry for new developers (think electrical engineers and students)

There are still many challenges...