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About this paper
Sayed Mahbub Hasan Amiri, Atiar Zahan
This paper evaluates the growing adoption of MicroPython and CircuitPython in embedded systems, revealing their effectiveness in democratizing hardware programming and accelerating prototyping for IoT and robotics. Benchmarks show Python-based solutions are 2-20 times slower and consume 4-6 times more RAM than C/C++ for low-level tasks, but are adequate for many common applications due to significantly faster development cycles.
Key insights
- MicroPython and CircuitPython act as complementary tools to C/C++ in embedded development, expanding accessibility and accelerating prototyping rather than replacing traditional languages.
- The primary value proposition lies in democratizing embedded development, fostering education, and enabling a broader range of developers (e.g., data scientists, web developers) to engage with physical computing.
- Despite performance and memory trade-offs, Python on microcontrollers is 'fast enough' for a significant class of common embedded applications, balancing efficiency with development speed.
Summary by alphaXiv.
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