carl9170fw VS sverchok

The carl firmware at https://github.com/chunkeey/carl9170fw should put that argument to rest. That is Wifi firmware source code for the Wifi I currently use.

Easily changed likely means there's a physical knob somewhere that you could accidentially poke as a layperson.

Not that you get a three year CS education, figure out how your distribution packages dependencies, install the correct embedded toolchain (good luck), find out exactly which chip is in your device, fetch the proper firmware source code in the right version, build the thing, figure out how to flash the result onto the chip / read the Linux kernel sources to figure out the filename inside /lib/firmware. That's not easy.

Even if this entire process was packaged (it is--see <https://packages.debian.org/sid/firmware-linux-free>), it probably still doesn't count (or at least shouldn't count) as "easily" changed.

There are some cards with open source firmware, you might be able to modify it to do something like that.

https://github.com/chunkeey/carl9170fw/

I made this lil animation with Sverchok Nodes and the help of this nice tutorial. The song is Nachtexpress by Extrarausch.

A more generic equivalent seems to be PyFlow: https://wonderworks-software.github.io/PyFlow/.

GNU Radio is targeted to a specific domain and the collection of existing nodes reflects that, similar tools exist for other domains, e.g. for CAD there is Sverchok which works with Blender: https://nortikin.github.io/sverchok/.

Sverchok is pretty amazing considering it all done via python api. https://github.com/nortikin/sverchok

Parametric modelling is sure fun. Haven't tried OpenSCAD yet, but done some in Blender with Sverchok addon (screenshot from manual) - pretty powerful stuff. The parametric modelling is getting even into vanilla Blender now with geometry nodes.

""" in in_points v in values s in xi v out out_values s """ import numpy as np import sys from sverchok.utils.logging import exception, info from sverchok.data_structure import zip_long_repeat try: import scipy from scipy.interpolate import interpn except ImportError as e: info("SciPy module is not available. Please refer to https://github.com/nortikin/sverchok/wiki/Non-standard-Python-modules-installation for how to install it.") raise e out_values = [] for everypoint in xi: new_values = interpn(points, values, xi, method='linear', bounds_error=True, fill_value=0) out_values.append(new_values)

Also check out the addon Sverchok, I think at the moment it is still much more powerful than the new geometry nodes, basically a full-blown Grasshopper (from Rhino3D) alternative. Would be nice to see it added into the main program at some point.

https://github.com/nortikin/sverchok

You can try Sverchok(“Grasshopper” in russian), this tool designed specifically for this purposes: https://github.com/nortikin/sverchok It’s kinda weird, notoriously hard to learn, but will do the trick.