circuitpython VS NumPy

As another point for those interested, it (to my knowledge) is currently the ONLY implementation of a scoring machine that the firmware for the device is written in Circuit Python. which gives this unit an advantage when it comes to any and all multi tasking that the unit may need to do.

The barrier to entry has never been lower. Last night I prototyped some code in Python on my Mac to talk to a Bluetooth peripheral, and then had ChatGPT translate it to Arduino C++ code for a $5 ESP32 which mostly worked on the first go.

You can even run Python on microcontrollers these days. See Adafruit's https://circuitpython.org for which they publish modules for many (almost all?) of the sensors they sell. The modern microcontroller frameworks hide much of the complexity of Wi-Fi, Bluetooth, filesystems, etc. so you can do complicated things with minimal effort. You can really cobble something together in an afternoon.

The Pico runs CircuitPython and uses Adafruit's HID library to emulate a keyboard. It's also possible to emulate a mouse and a gamepad (there are some experiments for gamepad emulation in experiments).

Asked your question in the adafruit discord and they said there's no HT1632c library for circuit python yet. There is a library for micropython. You can request to have it ported from the Micropython library I linked to by opening a feature request in the Circuit Python Github. That would be your best option for now or attempt to port the library yourself.

Microcontrollers can run Python now https://circuitpython.org/

I'm aware of two versions of Python for microcontrollers. Micro Python and Circuit Python

I tried to look in https://github.com/adafruit/circuitpython/tree/main/shared-bindings at audiocore, audioio, an audiomixer looking for a way to access the sample counter manually but I have no clue what I'm looking at :(

Try CircuitPython 8.0.3. The commit log has a couple networking changes for the Pico. My MQTT client seems to have fewer connection issues though they could be a fluke https://github.com/adafruit/circuitpython/compare/8.0.2...8.0.3

In NumPy with @, dot() or matmul():

In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication.

Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:

numpy: A library for scientific computing in Python

Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy.

I was looking at all the big projects like numpy, pytorch, flask, etc.

I wish the NumPy devs would more thoroughly consider adding full fluent API support, e.g. x.sqrt().ceil(). [Issue #24081]