I very much liked @ggventurini's idea of creating a port of this library that works for an open language. My guess is that I would have probably collaborated with him, had I been aware of this project.
Amongst other neat properties, Julia natively supports arrays and other mathematical constructs (ex: no need for awkward call to np.array). Oh yeah... and you don't have to write C/C++ code (write MEX files) to get your simulations to run fast!
I very much liked @ggventurini's idea of creating a port of this library that works for an open language. My guess is that I would have probably collaborated with him, had I been aware of this project.
My own port of the ΔΣ library:
Having said that, I chose to port to Julia instead of Python because I find it much easier for writing scientific code: -->https://github.com/ma-laforge/RSDeltaSigmaPort.jl
About Julia
Amongst other neat properties, Julia natively supports arrays and other mathematical constructs (ex: no need for awkward call to
np.array). Oh yeah... and you don't have to write C/C++ code (write MEX files) to get your simulations to run fast!Enjoy!