On Sun, 2013-02-17 at 12:38 -0500, Neal Becker wrote:
> The 1st example says:
> >>> import pyfftw
> >>> import numpy
> >>> a = pyfftw.n_byte_align_empty(128, 16, 'complex128')
> >>> a[:] = numpy.random.randn(128) + 1j*numpy.random.randn(128)
> >>> b = pyfftw.interfaces.numpy_fft.fft(a)
>
> I don't
Henry Gomersall wrote:
> Some of you may be interested in the latest release of my FFTW bindings.
> It can now serve as a drop in replacement* for numpy.fft and
> scipy.fftpack.
>
> This means you can get most of the speed-up of FFTW with a one line code
> change or monkey patch existing librarie
Some of you may be interested in the latest release of my FFTW bindings.
It can now serve as a drop in replacement* for numpy.fft and
scipy.fftpack.
This means you can get most of the speed-up of FFTW with a one line code
change or monkey patch existing libraries.
Lots of other goodness too of co
