<josef.p...@gmail.com> wrote: > For fft I use mostly scipy, IIRC. (scipy's fft imports numpy's fft, > partially?)
No. SciPy uses the Fortran library FFTPACK (wrapped with f2py) and NumPy uses a smaller C library called fftpack_lite. Algorithmically they are are similar, but fftpack_lite has fewer features (e.g. no DCT). scipy.fftpack does not import numpy.fft. Neither of these libraries are very "fast", but usually they are "fast enough" for practical purposes. If we really need a kick-ass fast FFT we need to go to libraries like FFTW, Intel MKL or Apple's Accelerate Framework, or even use tools like CUDA or OpenCL to run the FFT on the GPU. But using such tools takes more coding (and reading API specifications) than the convinience of just using the FFTs already in NumPy or SciPy. So if you count in your own time as well, it might not be that FFTW or MKL are the "faster" FFTs. Sturla _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
