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I stumbled upon that question.

I'm using python from matlab (reference). creating numpy arrays is as easy as py.numpy.array(rand(1, 10)). By passing the dimensions I can also create a small method that will allow me to pass multidimensional arrays.

The performance, though, is awful. I guess it's because the conversion is first to python's list and then to matlab array (boxing and unboxing).

Is there a way (like the one suggested in the referenced question) to improve that conversion?

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  • Something like this?: stackoverflow.com/a/45290997/4045774 Commented Aug 28, 2018 at 9:05
  • that's when calling matlab from inside python. I'm doing the opposite - inside matlab calling python. Commented Aug 28, 2018 at 10:02
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