Tutorials, drivers, and applications for asynchronous programming with MicroPython's asyncio library on hardware interfaces.
micropython-async is a collection of tutorials, drivers, and applications for asynchronous programming using MicroPython's asyncio library. It helps developers write concurrent code for hardware interfaces and embedded systems, enabling efficient task management on resource-constrained devices. The project provides practical examples and documentation to simplify the adoption of async patterns in MicroPython environments.
Embedded systems developers and hobbyists working with MicroPython on devices like microcontrollers, who need to manage multiple hardware interfaces concurrently without blocking operations.
Developers choose this project for its focused, practical resources that bridge the gap between MicroPython's asyncio library and real-world hardware applications, offering optimized code and clear tutorials tailored for embedded scenarios.
Application of asyncio to hardware interfaces. Tutorial and code.
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The v3 directory includes step-by-step guides specifically designed for mastering asynchronous programming in MicroPython, as highlighted in the key features.
Provides asynchronous drivers for various hardware interfaces, enabling non-blocking I/O operations essential for embedded systems, demonstrated in the demo applications.
Demo applications showcase real-world use cases and best practices, offering hands-on learning for implementing concurrent tasks on microcontrollers.
Emphasizes small code size and high performance on bare-metal targets, making it suitable for resource-constrained devices as per the project philosophy.
MicroPython's asyncio is a subset of CPython's, so developers may encounter missing features or limitations in advanced concurrency scenarios, as noted in the README.
Requires recent firmware builds with asyncio V3.0 incorporated, which can complicate deployment on devices with older or custom MicroPython versions.
As a collection of tutorials and drivers rather than a unified framework, it demands additional effort to integrate resources into projects, unlike drop-in libraries.