On Mon, 25 Mar 2024 at 20:09, Charles R Harris
wrote:
>
>
> On Mon, Mar 25, 2024 at 11:28 AM Luca Bertolotti <
> luca72.bertolo...@gmail.com> wrote:
>
>> Hello
>> in a vb program they use 3rd degree approx and get this value including
>> displacement:(SC)
>> [image: image.png]
>>
>> Ii think that
Hi,
On Tue, 23 Feb 2021 at 19.11, Neal Becker wrote:
> I have code that performs dot product of a 2D matrix of size (on the
> order of) [1000,16] with a vector of size [1000]. The matrix is
> float64 and the vector is complex128. I was using numpy.dot but it
> turned out to be a bottleneck.
>
Hi,
On Mon, 12 Oct 2020 at 16.22, Hongyi Zhao wrote:
> On Mon, Oct 12, 2020 at 9:33 PM Andrea Gavana
> wrote:
> >
> > Hi,
> >
> > On Mon, 12 Oct 2020 at 14:38, Hongyi Zhao wrote:
> >>
> >> On Sun, Oct 11, 2020 at 3:42 PM Evgeni Burovski
> &g
ifting your
implementation to C/Cython or Fortran/f2py. I had much better results
myself using Fortran/f2py than pure NumPy or C/Cython, but this is mostly
because my knowledge of Cython is quite limited. That said, your problem
should be fairly easy to implement in a compiled language.
Andrea.
>
On Sun, 11 Oct 2020 at 07.52, Hongyi Zhao wrote:
> On Sun, Oct 11, 2020 at 1:33 PM Andrea Gavana
> wrote:
> >
> >
> >
> > On Sun, 11 Oct 2020 at 07.14, Andrea Gavana
> wrote:
> >>
> >> Hi,
> >>
> >> On Sun, 11 Oct 2020 at 00.
On Sun, 11 Oct 2020 at 07.14, Andrea Gavana wrote:
> Hi,
>
> On Sun, 11 Oct 2020 at 00.27, Hongyi Zhao wrote:
>
>> On Sun, Oct 11, 2020 at 1:48 AM Robert Kern
>> wrote:
>> >
>> > You don't need to use vectorize() on fermi(). fermi() will work j
Hi,
On Sun, 11 Oct 2020 at 00.27, Hongyi Zhao wrote:
> On Sun, Oct 11, 2020 at 1:48 AM Robert Kern wrote:
> >
> > You don't need to use vectorize() on fermi(). fermi() will work just
> fine on arrays and should be much faster.
>
> Yes, it really does the trick. See the following for the benchma
On Wed, 1 Jul 2020 at 21.23, gyro funch wrote:
> Hello,
>
> I greatly respect the intention, but this is a very slippery slope.
>
> Will you exempt groups within these companies that are working on
> 'green' technologies (e.g., biofuels)?
>
> Will you add to the license restrictions companies who
Hi,
On Tue, 3 Jul 2018 at 09.20, Gael Varoquaux
wrote:
> On Tue, Jul 03, 2018 at 08:54:51AM +0200, Andrea Gavana wrote:
> > This sound so very powerful... it’s such a pity that these type of gems
> won’t
> > be backported to Python 2 - we have so many legacy applications sm
On Tue, 3 Jul 2018 at 07.35, Gael Varoquaux
wrote:
> On Mon, Jul 02, 2018 at 05:31:05PM -0600, Charles R Harris wrote:
> > ISTR that some parallel processing applications sent pickled arrays
> around to
> > different processes, I don't know if that is still the case, but if so,
> no copy
> > migh
unbeatable, thanks for the analysis!
Andrea.
> Cheers,
>
>
>
> --
> Nicholas Nadeau, P.Eng., AVS
>
> On 7 October 2017 at 05:56, Andrea Gavana wrote:
>
>> Apologies, correct timeit code this time (I had gotten the wrong shape
>> for the output matrix in the loop case):
&
print method, ': MIN: %0.2f ms , MAX: %0.2f ms , MEAN: %0.2f ms ,
BEST OF 3: %0.2f ms'%tuple(result.tolist())
Results are the same as before...
On 7 October 2017 at 11:52, Andrea Gavana wrote:
> Hi All,
>
> I have this little snippet of code:
>
> import timeit
> impor
Hi All,
I have this little snippet of code:
import timeit
import numpy
class Item(object):
def __init__(self, name):
self.name = name
self.values = numpy.random.rand(8, 1)
def do_something(self):
sv = self.values.sum(axis=0)
array = numpy.empty((8,
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