Hello, I don't know if it is a good place to ask such questions. As advised here https://www.scipy.org/scipylib/mailing-lists.html#stackoverflow, I first posted a question on stackoverflow:
https://stackoverflow.com/questions/50475989/efficiency-of-numpy-wheels-and-simple-benchmark-for-numpy-installations Since I got no feedback, I try here. My questions are: - When we care about performance, is it a good practice to rely on wheels (especially for Numpy)? Will it be slower than using (for example) a conda built Numpy? - Are there simple commands to benchmark Numpy installations and get a good idea of their overall performance? I explain a little bit more in the stackoverflow question... Pierre Augier _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion