You could use the C approach and use modular arithmetic where the product simply wraps around. The Python approach would be nice if feasible, but what are you going to do for integers larger than the largest numpy data type? So I vote for modular arithetic because numpy is sorta C.
On 6/5/06, Davi
Christopher Barker wrote:
> Joe Harrington wrote:
>
>> My
>> suggestion is that all the other pages be automatic redirects to the
>> scipy.org page or subpages thereof.
>>
+1
>
> if that means something like:
>
> www.numpy.scipy.org (or www.scipy.org/numpy )
>
> Then I'm all for it.
>
On 6/7/06, Sven Schreiber <[EMAIL PROTECTED]> wrote:
> The next matplotlib release compatible with numpy 0.9.8 is hopefully
> coming soon! (but that's just a wish, not an informed opinion).
Actually it was released yesterday, it's 0.87.3:
http://sourceforge.net/project/showfiles.php?group_id=807
JJ,I had that problem, started to put the paths in explicitly, noticed that the code should work anyway, deleted my changes, ran again, and it worked fine. I can't tell you what the problem was or what the solution was, I can only say I've seen the same thing on fc5. When you do install, it is al
Joe Harrington wrote:
> My
> suggestion is that all the other pages be automatic redirects to the
> scipy.org page or subpages thereof.
if that means something like:
www.numpy.scipy.org (or www.scipy.org/numpy )
Then I'm all for it.
-Chris
--
Christopher Barker, Ph.D.
Oceanographer
Nicholas schrieb:
> Hi,
>
> I installed numpy 0.9.8 and when I try to import pylab I get a crash in
> multiarray.pyd. I then tried numpy 0.9.6, this cured the pylab import
> but now I cannot import scipy without crashing (again multiarray.pyd). I
> have tried complete reinstalls on 2 machines now
Hi,
I installed numpy 0.9.8 and when I try to import pylab I get a crash in multiarray.pyd. I then tried numpy 0.9.6, this cured the pylab import but now I cannot import scipy without crashing (again multiarray.pyd). I have tried complete reinstalls on 2 machines now with same behaviour so I dont
Also see this links, if you haven't already done so
http://mail.python.org/pipermail/python-list/2006-April/336758.html
http://starship.python.net/crew/theller/moin.cgi/Py2Exe
On 6/6/06, Neven Gorsic <[EMAIL PROTECTED]> wrote:
>
>
___
Numpy-discussion
> Date: Fri, 2 Jun 2006 18:04:32 -0400
> From: "Jonathan Taylor" <[EMAIL PROTECTED]>
> Subject: Re: [Numpy-discussion] Suggestions for NumPy
> To: numpy-discussion@lists.sourceforge.net
> Message-ID:
> <[EMAIL PROTECTED]>
> Content-Type: text/plain; charset=ISO-8859-1; format=flowed
> My sug
Hello. I am having some trouble getting numpy
installed on an AMD 64 bit Fedora 5 machine. I have
loaded atlas, blas, and lapack using yum. I can see
their library files in /usr/lib64/atlas/ (files such
as libblas.so.3.0). But the setup program will not
run. I have obtained the latest version
Robert Kern wrote:
>
> Depends. Do you want the actual bytes to swap, or are you content with
> getting a
> view that pretends the bytes are swapped? If the latter:
I want the actual bytes to swap.
Thanks,
Chris
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Num
Enthought is pleased to announce the release of Python Enthought Edition
Version 0.9.7 (http://code.enthought.com/enthon/) -- a python
distribution for Windows.
0.9.7 Release Notes:
Version 0.9.7 of Python Enthought Edition includes an update to version
1.0.7 of the Enthoug
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