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CircuitPython Turbo: Faster Code, Same Friendly Python

CircuitPython Turbo: Faster Code, Same Friendly Python

Adafruit Industries vor 1 Monat

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Adafruit Industries

198 Episoden

DIY electronics projects & much more

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Meet CircuitPython Turbo from Adafruit. CircuitPython Turbo gives
the busiest parts of your Python project a faster way to run.
"Turbo" translated selected Python functions into instructions the
chip can execute directly, while Python keeps handling the rest. In
one recorded test, a Mandelbrot calculation ran nearly 20 times
faster on an Adafruit Metro RP2040. That does not make everything
20 times faster, but it can free up time for animation, graphics,
and responding to input. Explore real hardware demos, see how it
works, and try it yourself. Keep the readable code, speed up the
demanding parts, and build something worth watching. Go Blinka!
Speed off into the project with the Adafruit Learning guide:
https://learn.adafruit.com/circuitpython-turbo?view=all
CircuitPython Turbo uses mpy-cross to compile selected Python
functions ahead of time into architecture-specific native .mpy
modules. Keep code.py as the coordinator while imported modules
handle computational hotspots. Native mode retains Python objects;
Viper supports machine-word integers and pointers for tighter
loops. On Adafruit Metro RP2040, a fixed-point 160 × 120 Mandelbrot
benchmark dropped from 8,335.3 ms as bytecode to 422.9 ms with
Viper: 19.71× faster computation. The source remains available as
an import-time fallback when compiled modules are absent. Explore
the toolchain, compare outputs, and measure your complete
application: faster arithmetic does not eliminate display, storage,
or communication delays. Same snake, less waiting #circuitpython
#adafruit #python