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MicroPython Projects

MicroPython Projects

By : Brad Stewart
4.4 (10)
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MicroPython Projects

MicroPython Projects

4.4 (10)
By: Brad Stewart

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)
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11
Downloading and Running MicroPython Code

A Custom Debugging Tool to Visualize Sensor Data

The greatest challenge that every embedded software developer faces is troubleshooting their embedded system. When I speak at conferences such as Embedded World, the Embedded Systems Conference, and Arm TechCon, or when I've polled registrants and attendees to my courses and newsletter (Embedded Bytes), on average, developers spend 40% of their time debugging their software. If the average project length is 12 months, that's as much as a year being spent on failure work!

The ability to debug and visualize what an embedded system is doing can help to decrease the amount of time we spend debugging by providing developers with critical system information and a way to easily see what the software is doing. In this chapter, we will build a tool in Python that allows us to visualize what our MicroPython-based embedded system...

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