Build robotics, collect machine data, fun projects, and more with these Python microcontroller libraries.
Using microcontroller libraries is one of the most efficient ways of implementing Python in microcontrollers. With these libraries you can not only add machine learning capabilities to your project but also add support for real-time operating systems such as Zephyr. Popular Python microcontroller libraries like MicroPython provide implementation of several components that consists of an array, collections, errno, binascii, builtins, cmath, gc, json, math, hashlib, heapq, io, os, select, socket, ssl, random, re, uasyncio, zlib, struct, sys, time, and _thread. It is an open-source firmware solution designed to help developers implement the features of high-level language offered by Python into low-level hardware platforms and microcontrollers. Also, these libraries can run on small memory systems.
Explore below the list of top and trending Python microcontroller libraries to include in your machine learning or robotics project.
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