On: How Numba and Cython speed up Python code

[gh02t]

Thanks, I remember it used to cost money but I couldn't remember if it still did.

[gaius → gh02t]

I guess NVidia figure they can make more selling cards than charging for the library !

[mkl → gaius]

Numba is not made by NVidia. It is [1] made by Anaconda (formerly Continuum Analytics), which was co-founded by Travis Oliphant, the primary author of NumPy.

[1] (primarily - it's open source)

[gaius → mkl]

Right, but the NVidia drivers are free for it now, whereas they didn’t used to be according to the OP.

[gh02t → gaius]

They aren't drivers, it's just the ability to generate CUDA kernels in Numba. It has nothing to do with Nvidia supporting it, they were not involved AFAIK.

[gaius → gh02t]

Interesting, thanks :-) either way, we’re all set to accelerate Python code on the GPU! Personally I intend to focus my efforts here rather than learning Julia.