On 14-Dec-09, at 2:31 AM, yogesh karpate wrote:
Does Numpy Support CGI scripting? DO scipy and matplotlib also
support?
I'm not sure what you're asking exactly.
If the question is can you create CGI scripts that use NumPy/SciPy/
matplotlib then the answer is yes. You just need to look up
David Cournapeau cournape at gmail.com writes:
Could you give us the generated config.h (somewhere in
build/src.*/numpy/core/), just in case ?
Here it is:
http://files.me.com/fonnesbeck/d9eyxi
Thanks again.
cf
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NumPy-Discussion mailing
On 12/13/2009 05:13 AM, Jasper van de Gronde wrote:
Bruce Southey wrote:
Really I would suggest asking the list for the real problem because it
is often amazing what solutions have been given.
So far this is the fastest code I've got:
A Saturday 12 December 2009 12:59:16 Jasper van de Gronde escrigué:
Francesc Alted wrote:
...
Yeah, I think taking slices here is taking quite a lot of time:
In [58]: timeit E + Xi2[P/2,:]
10 loops, best of 3: 3.95 µs per loop
In [59]: timeit E + Xi2[P/2]
10 loops, best of
A Monday 14 December 2009 17:09:13 Francesc Alted escrigué:
The things seems to be worst than 1.6x times slower for numpy, as matlab
orders arrays by column, while numpy order is by row. So, if we want to
compare pears with pears:
For Python 600x200:
Add a row: 0.113243 (1.132425e-05
Francesc Alted wrote:
A Monday 14 December 2009 17:09:13 Francesc Alted escrigué:
The things seems to be worst than 1.6x times slower for numpy, as matlab
orders arrays by column, while numpy order is by row. So, if we want to
compare pears with pears:
For Python 600x200:
Add a row:
Bruce Southey wrote:
So far this is the fastest code I've got:
import numpy as np
nmax = 100
def minover(Xi,S):
P,N = Xi.shape
SXi = Xi.copy()
for i in xrange(0,P):
SXi[i] *= S[i]
A Monday 14 December 2009 18:20:32 Jasper van de Gronde escrigué:
Francesc Alted wrote:
A Monday 14 December 2009 17:09:13 Francesc Alted escrigué:
The things seems to be worst than 1.6x times slower for numpy, as matlab
orders arrays by column, while numpy order is by row. So, if we want
On Mon, Dec 14, 2009 at 12:51 PM, Francesc Alted fal...@pytables.org wrote:
A Monday 14 December 2009 18:20:32 Jasper van de Gronde escrigué:
Francesc Alted wrote:
A Monday 14 December 2009 17:09:13 Francesc Alted escrigué:
The things seems to be worst than 1.6x times slower for numpy, as
We are looking to hire a quantitative researcher to help research and
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On Mon, Dec 14, 2009 at 10:27 AM, Jasper van de Gronde
th.v.d.gro...@hccnet.nl wrote:
Bruce Southey wrote:
So far this is the fastest code I've got:
import numpy as np
nmax = 100
def minover(Xi,S):
Pierre GM-2 wrote:
Well, that's a problem indeed, and I'd put that as a bug.
However, you can use that syntax instead:
t.fill_value['a']=10
or set all the fields at once:
t.fill_value=(10,99)
Thanks for your reply - should I submit a bug report on the numpy trac site?
Thomas
--
On Dec 14, 2009, at 4:28 PM, Thomas Robitaille wrote:
Pierre GM-2 wrote:
Well, that's a problem indeed, and I'd put that as a bug.
However, you can use that syntax instead:
t.fill_value['a']=10
or set all the fields at once:
t.fill_value=(10,99)
Thanks for your reply - should I
When I issue the command
np.lookfor('bessel')
I get the following:
Search results for 'bessel'
---
numpy.i0
Modified Bessel function of the first kind, order 0.
numpy.kaiser
Return the Kaiser window.
numpy.random.vonmises
Draw samples from a von Mises
On Mon, Dec 14, 2009 at 22:30, Dr. Phillip M. Feldman
pfeld...@verizon.net wrote:
When I issue the command
np.lookfor('bessel')
I get the following:
Search results for 'bessel'
---
numpy.i0
Modified Bessel function of the first kind, order 0.
numpy.kaiser
15 matches
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