Web Reference: Numpy.NET empowers .NET developers with extensive functionality including multi-dimensional arrays and matrices, linear algebra, FFT and many more via a compatible strong typed API. Several other SciSharp projects like Keras.NET and Torch.NET depend on Numpy.NET. Feb 24, 2023 · It's more like workaround than solution but I will leave it here, in case someone will deal similar problem in future. It seems that Pythonnet handle seamless only basic data types. So you must convert numpy array to something simpler, like list, on the python site, so assuming y1 is numpy array: To take full advantage of the optimizations, try to do calculations with same type arrays. For example, adding 2 large Float64/double arrays will typically be faster than adding 1 large double array and 1 large integer array. We are able to follow highly optimized paths if the data is the same type.
YouTube Excerpt: Learn Numpy in 5 minutes! A brief introduction to the great python library - Numpy. I cover
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