Jacob Beningo - MicroPython Projects

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Jacob Beningo is an independent consultant who specializes in microcontroller-based embedded systems. He has advised, coached, and developed systems across multiple industries, including the automotive, defense, industrial, medical, and space sectors. Jacob enjoys working with companies to help them develop and improve their processes and skill sets. He publishes a monthly newsletter, Embedded Bytes, and blogs for publications about embedded system design techniques and challenges. Jacob holds bachelor's degrees in electrical engineering, physics, and mathematics from Central Michigan University and a master's degree in space systems engineering from the University of Michigan.

Bhaumik Vaidya is an experienced computer vision engineer and mentor. He has worked extensively on OpenCV in solving computer vision problems. He got a gold medal in his master's degree and is now doing a PhD in the acceleration of computer vision algorithms built using OpenCV and deep learning libraries on GPUs. He has a background in teaching and has guided many projects in computer vision and very-large-scale integration (VLSI). He has previously worked in the VLSI domain as an ASIC verification engineer, and so has very sound knowledge of hardware architectures as well. Bhaumik, along with his PhD mentor, has also received an NVIDIA Jetson TX1 embedded development platform as a research grant from NVIDIA.

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Embedded systems developers have traditionally mostly used C when programming, or if they are daring and cutting edge, they've pushed the envelope by using C++. Over the last decade, a lot has changed in the way that we design and build embedded systems and in the way that software is developed in general. Python has become a dominant language in many computer and server applications, with many young and new developers learning Python first over any other language. This makes Python a unique and interesting choice to develop embedded systems.

MicroPython Projects explores how developers can leverage Python to develop applications that use a slimmed-down version Python known as MicroPython. MicroPython came into existence back in 2013 and has been steadily evolving and growing an active and innovative community around it. MicroPython allows developers to work at a higher level of abstraction, focusing on the application early while leaving low-level processor details behind an interface, which makes it easy for even non-software developers to quickly write applications that control and interface with the hardware.

This book will walk you through the background of developing applications using MicroPython and will help developers to get familiar with some design patterns and formulate ideas for their own projects.

This book is for embedded systems developers or anyone who is interested in building embedded systems using MicroPython.

I expect that the reader has a basic understanding of electronics and Python while some experimentation with MicroPython will be helpful.