running a 64 bit or 32 bit version of linux? I'm
> running a 64 bit archlinux. I'm wondering if my cuda libraries are
> compatible with the sandboxed python.
>
> On 3/1/2010 2:09 PM, Ahmed Fasih wrote:
>
> Ignoring the oft-considered and oft-rejected suggestion that Sag
Ignoring the oft-considered and oft-rejected suggestion that Sage
integrate with its host system, I take it that you couldn't get PyCUDA
0.9.3 working. I just got it working with Sage, Fedora 11, etc.
When installing Boost 1.4.2, I made sure to "./bootstrap.sh --help"
and see how to provide the co
Jose, I just tried this in a Notebook for a Sage having applied the
patch as described in
http://groups.google.com/group/sage-support/msg/00d0b4c724473e3c
and it works:
<<<
import numpy as np
from scipy.optimize import leastsq
x = np.arange(0,3.0,0.25)
y = np.array
([0.0,0.3066,1.2263,2.7591,4.90
Jason, Robert, I'm trying to understand the patch, but it looks like
this is a fix for *all* Numpy/Scipy-Sage type issues? If so---oh happy
day!
On Jul 9, 5:53 am, Jason Grout wrote:
> Ahmed Fasih wrote:
> > Writing your own is a good way to understand the implementation issu
Hi, I don't know what a modular group is but Python has some default
support for complex numbers (e.g., you can type in 1+2j in just your
standard Python interpreter and it will work), but all kinds of nice
things are available in Sage:
sage: z=1+2j
sage: type(z)
sage: C=ComplexField(256)
sage:
errors you are getting.
On Jul 6, 3:57 pm, Mikie wrote:
> Ahmed,
>
> Looks good, but I am creating a function in python that is called.
> And 1r, .56r ,etc. does not pass. I am taking these parameters from a
> form and then using the function.
> Is there a work-a-round?
> Thank
If you can give a minimal example generating X, Y, and Stress_Z in
Sage or Numpy, we'll be in a better position to reproduce the Matlab
output.
Also, check these fine 3d plotting examples for Matplotlib:
http://www.scipy.org/Cookbook/Matplotlib/mplot3D all the examples will
work in Sage since sag
This is also an excellent resource: "How To Ask Questions The Smart
Way," by the peerless Eric Steven Raymond:
http://catb.org/esr/faqs/smart-questions.html
On Jul 3, 8:17 pm, Ahmed Fasih wrote:
> Writing your own is a good way to understand the implementation issues
> t
Writing your own is a good way to understand the implementation issues
that we sometimes unthinkingly rely on, but for production code, it's
always a good idea to default to the pre-packaged implementation.
In this case, I think it's the standard issue with Scipy not
understanding Sage types. Thi
On Jun 29, 8:37 pm, Kevin Horton wrote:
> It would be nice if that wiki FAQ mentioned the option of using an "r"
> suffix. I didn't know about that possibility until now.
>
> I tried to set up a wiki account so I could edit the page, but that
> didn't seem to work.
Took the liberty of doing
Adam, try posting your error message.
On Jun 26, 10:20 am, adam mohamed
wrote:
> Dear All,
>
> I am having the same problem as the one below on a windows machine and I
> tried: notebook(open_viewer=False)
> in vain. What I should do? Thanks
> Adam
>
>
>
> On Fri, Jun 26, 2009 at 2:06 PM, Will
Giovanni, try this instead:
sage: numpy.random.multinomial(10, [.5,.5], size=20r)
The only difference is the "r" suffix to the size argument. When you
type in numbers into sage, the pre-processor converts them to a base
ring, which you can see by doing:
sage: preparse('numpy.random.multinomial(
As Sage continues to replace commercial and/or hand-rolled distributed
numerical applications, this question becomes more and more important.
I have neither EC2-specific nor general cloud-oriented comments---my
use of Sage on a cluster was limited to very dumb file-based data-
sharing. I'm hoping
Flavio, I will defer to a more expert Sage user on importing global
python libraries into Sage but I will offer my own experiences in
installing libraries into Sage. Since Sage has a complete Python
installation in it (accessible through "sage -python"), I have been
able to install the few Python
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