Eelco Hoogendoorn <hoogendoorn.ee...@gmail.com> wrote: > Perhaps the 'batteries included' philosophy made sense in the early days of > numpy; but given that there are several fft libraries with their own pros > and cons, and that most numpy projects will use none of them at all, why > should numpy bundle any of them?
Because sometimes we just need to compute a DFT, just like we sometimes need to compute a sine or an exponential. It does that job perfectly well. It is not always about speed. Just typing np.fft.fft(x) is convinient. Sturla _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
