[Numpy-discussion] FFTS for numpy's FFTs (was: Re: Choosing between NumPy and SciPy functions)
sturla.molden at gmail.com
Tue Oct 28 13:21:30 EDT 2014
Eelco Hoogendoorn <hoogendoorn.eelco at 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.
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