On Thu, Dec 8, 2011 at 23:15, Yang Zhang yanghates...@gmail.com wrote:
On Tue, Oct 4, 2011 at 12:05 PM, Yang Zhang yanghates...@gmail.com wrote:
On Tue, Oct 4, 2011 at 1:28 AM, Robin robi...@gmail.com wrote:
On Mon, Oct 3, 2011 at 9:42 PM, Yang Zhang yanghates...@gmail.com wrote:
It turns out
On Fri, Dec 9, 2011 at 12:31 AM, Robert Kern robert.k...@gmail.com wrote:
On Thu, Dec 8, 2011 at 23:15, Yang Zhang yanghates...@gmail.com wrote:
On Tue, Oct 4, 2011 at 12:05 PM, Yang Zhang yanghates...@gmail.com wrote:
On Tue, Oct 4, 2011 at 1:28 AM, Robin robi...@gmail.com wrote:
On Mon, Oct
On Fri, Dec 9, 2011 at 11:00, Yang Zhang yanghates...@gmail.com wrote:
Thanks for the clarification. Alas. So is there no simple workaround
to making numpy work in environments such as Jepp?
I don't think so, no.
--
Robert Kern
I have come to believe that the whole world is an enigma, a
Quoting Robert Kern robert.k...@gmail.com:
On Fri, Dec 9, 2011 at 11:00, Yang Zhang yanghates...@gmail.com wrote:
Thanks for the clarification. Alas. So is there no simple workaround
to making numpy work in environments such as Jepp?
I don't think so, no.
It is far from being an optimal
Le 09/12/2011 09:31, Robert Kern a écrit :
We have some global state
that we need to keep, and this gets interfered with in a multiple
interpreter environment.
I recently got interested in multiprocessing computation with numpy and
now I get scare by your statement !
Please don't tell me it is
On Fri, Dec 9, 2011 at 13:18, Pierre Haessig pierre.haes...@crans.org wrote:
Le 09/12/2011 09:31, Robert Kern a écrit :
We have some global state
that we need to keep, and this gets interfered with in a multiple
interpreter environment.
I recently got interested in multiprocessing computation
Le 09/12/2011 15:00, Robert Kern a écrit :
Using multiprocessing is fine. That starts up multiple interpreters in
*different* processes. Yang is using a non-Python program that embeds
the CPython interpreter and starts up multiple copies of it in the
same process.
Ok, now I think I understand.
Hi Armando,
No comment on the Java thing ;-)
However,
http://www.opengda.org/documentation/manuals/Diamond_SciSoft_Python_Guide/8.18/contents.html
is more up-to-date and we are on github too:
https://github.com/DiamondLightSource
Peter
On 9 December 2011 13:05, Vicente Sole s...@esrf.fr
I'm trying to build numpy 1.6.1 on Scientific Linux 5 but the unit tests
claim the wrong version of fortran was used. I thought I knew how to
avoid that, but it's not working.
I don't have atlas (this needs to run on a lot of
similar-but-not-identical machines). I believe blas and lapack were
I am trying to pass a multi-dimensional ndarray to C as a multi-dimensional C
array for the purposes of passing it to mathematica. I am using
PyArray_AsCArray but getting an error.
##
Python Code:
import Image
from scipy.misc import fromimage
Hi everyone,
I'm quite new to numpy and python either. Could someone, please, tell me
what I'm doing wrong?
Here goes my peace of code:
def stats(filename):
Utilility to perform some basic statistics on columns.
tab = get_textab(filename)
stat_list = [ ]
for row in sort_tab(tab):
On 12/9/11 11:25 AM, Ng, Enrico wrote:
I am trying to pass a multi-dimensional ndarray to C as a multi-dimensional C
array for the purposes of passing it to mathematica. I am using
PyArray_AsCArray but getting an error.
I understand that SWIG, Boost, et. al are perhaps too heavyweight for
I actually figured it out.
I went one level down in the array and it took it.
-Original Message-
From: numpy-discussion-boun...@scipy.org
[mailto:numpy-discussion-boun...@scipy.org] On Behalf Of Chris.Barker
Sent: Friday, December 09, 2011 3:33 PM
To: Discussion of Numerical Python
Hi,
I don't know if this is of importance, but when I compile code using the
numpy C API, I get the warning:
site-packages/numpy/core/include/numpy/__multiarray_api.h:1532: warning:
'int _import_array()' defined but not used
Might be worth cleaning it up.
Best regards,
Mads
On Fri, Dec 9, 2011 at 11:47 AM, ferreirafm ferreir...@lim12.fm.usp.br wrote:
Hi everyone,
I'm quite new to numpy and python either. Could someone, please, tell me
what I'm doing wrong?
Here goes my peace of code:
def stats(filename):
Utilility to perform some basic statistics on
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