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Den kleinen Seeed Studio XIAO ESP32-C6 habe ich bereits in einem separaten Beitrag vorgestellt. Dieses Mal geht es um das passende XIAO Expansion Board, das den

Sean delivers the news roundup, Matt runs us through his latest hardware

Pybricks API type stubs and documentation for MicroPython on LEGO hubs

Python wrapper for the MicroPython mpy-cross compiler (MPY ABI v6), used by pybricksdev

Python wrapper for the MicroPython mpy-cross compiler (MPY ABI v5), used by pybricksdev

If you’ve used MicroPython much, you know that debugging usually amounts to printing a few things out, trying your code out, and then repeating. But [ghi-electronics] wants you to have …read more

Hackaday Article

If you’ve used MicroPython much, you know that debugging usually amounts to printing a few things out, trying your code out, and then repeating. But [ghi-electronics] wants you to have …read more

Nu drar jag igång min intervjuserie här på Ordbajsarn, där jag ställer frågor till människor i techbranschen. Först ut är Markus Hedenborn. Markus är systemutvecklare på RENZ Sweden i Jönköping, där han jobbar med en IoT-plattform för smarta post- och paketboxar – från mobilapp till backend. Han bor i Habo, kallar sig maker och ägnar fritiden åt breadboards, MicroPython, CAD, 3d-skrivare och en CNC-maskin.

Targeting students and beginners, Adafruit released "CircuitPython" in 2017 (as a derivative of the MicroPython microcontroller-optimized programming language). Now Adafruit managing director Phillip Torrone (also long-time Slashdot reader ptorrone) brings this update: Adafruit has published CircuitPython Turbo, a workflow that compiles selected Python functions into native machine code on a computer, then loads them onto compatible microcontroller boards. It builds on MicroPython's Native and Viper emitters. In a documented Metro RP2040 fixed-point Mandelbrot test, Viper cut computation time from 8.335 seconds to 0.423 seconds, a 19.71x speedup over bytecode. The rest of the application stays in Python. The guide includes benchmarks, source code and hardware demos. The speedup is for the measured computation, not the whole application. "Turbo support is now included in the latest official CircuitPython builds for RP2040 and RP2350 boards..." explains Torrone's announcement at Adafruit.com. "The new Turbo in CircuitPython helps when the board spends time calculating: making neopixel effects, drawing fractals, processing audio, filtering sensor readings, or preparing lots of pixels. Those projects can get smoother animation, quicker responses, or room to do more things at once." With Turbo, it's easier, better, and now even faster to make LED light up costumes that also reacts to sound at the same time, a sensor dashboard with animated graphics, or a tiny game doing physics while drawing the screen. Turbo speeds up the busy Python parts. It won't make a slow sensor or display connection faster... Your computer turns selected functions into instructions the chip can run directly. Python still handles the rest. We have measured speedups, real display captures, and examples you can pull apart to see what happened. None of this arrived alone. CircuitPython, MicroPython, PyMCU, compiler tools, open hardware, and people sharing their work gave us pieces to connect. The Bao experiments take that idea somewhere else, handing calculations to four helper cores. Now we get to make those paths easier to use, compare results, and find the next useful thing. Maybe that's smoother animation, a responsive instrument, or an idea we haven't tried yet. That's what I like about open source. Someone shares a piece, someone else sees a possibility, and we get to keep building it together. Read more of this story at Slashdot.

Targeting students and beginners, Adafruit released "CircuitPython" in 2017 (as a derivative of the MicroPython microcontroller-optimized programming language). Now Adafruit managing director Phillip Torrone (also long-time Slashdot reader ptorrone) brings this update: Adafruit has published Cir...