[Numpy-discussion] Numpy Benchmarking (original) (raw)

Keith Goodman kwgoodman at gmail.com
Tue Jun 27 21:13:37 EDT 2006

On 6/27/06, Travis Oliphant <oliphant.travis at ieee.org> wrote:

The numpy.dual library exists so you can use the SciPy calls if the person has SciPy installed or the NumPy ones otherwise. It exists precisely for the purpose of seamlessly taking advantage of algorithms/interfaces that exist in NumPy but are improved in SciPy.

That sounds very interesting. It would make a great addition to the scipy performance page:

http://scipy.org/PerformanceTips

So if I need any of the following functions I should import them from scipy or from numpy.dual? And all of them are faster?

fft ifft fftn ifftn fft2 ifft2 norm inv svd solve det eig eigvals eigh eigvalsh lstsq pinv cholesky

http://svn.scipy.org/svn/numpy/trunk/numpy/dual.py

More information about the NumPy-Discussion mailing list