Book Image

BBC Micro:bit in Practice

By : Ashwin Pajankar, Abhishek Sharma, Sandeep Saini
Book Image

BBC Micro:bit in Practice

By: Ashwin Pajankar, Abhishek Sharma, Sandeep Saini

Overview of this book

This book is a one-stop guide for learning BBC Micro:bit with MicroPython, exploring many hardware components and programming techniques to provide detailed insights into developing practical applications with the Micro:bit. It will also show you how hardware components can be manipulated using a combination of Micro:bit and MicroPython for developing practical projects. BBC Micro:bit in Practice will help you gain a holistic understanding of the BBC Micro:bit platform and MicroPython programming, guiding you through mini projects aimed at developing practical knowledge of circuit design and writing programs. You’ll learn how to write programs for working with built-in LEDs and buttons, interfacing external LEDs, buttons, motors, buzzers, and much more. You’ll also work with built-in radio, speakers, accelerometer, and a compass. You’ll dive into concepts related to the Micro:bit filesystem, interfacing external displays, and working with libraries in detail before exploring sewable circuits and wearable technology. After reading this Micro:bit book, you’ll understand how to apply principles in electronics and MicroPython to create interesting real-life projects from scratch.
Table of Contents (22 chapters)
1
Part 1: Getting Started with the BBC Micro:bit
6
Part 2: Programming Hardware with MicroPython
10
Part 3: Filesystems and Programming Analog I/O
13
Part 4: Advanced Hardware Interfacing and Applications

Data logging

Figure 10.3 only shows the changes in the x axis data. Just one axis is insufficient for making effective decisions, such as fall detection, pitches, yaws, and rolls. We need to collect data from the x, y, and z axes. This data will make interpretation more accurate and reliable, as fall patterns can’t be analyzed just from one axis. Hence, it is essential to have data stored in a file so it can be used for analysis. Data logging is a method of storing the data coming from sensors, actuators, or any subsystems to keep a record, which will further help decision-making and monitoring. Data visualization is equally essential; it is easier to observe the significant changes via graphs and figures.

In the following program, the movement of the Micro:bit board is recorded with the help of an accelerometer. Based on the tilt, we are displaying the image on an LED array display:

from microbit import *
while True:
    sleep(120)
   ...