On Thu, Jul 11, 2013 at 4:29 AM, Blake Griffith
blake.a.griff...@gmail.com wrote:
Hello NumPy,
Part of my GSoC is compatibility with SciPy's sparse matrices and NumPy's
ufuncs. Currently there is no feasible way to do this without changing ufuncs
a bit.
I've been considering a mechanism
On Tue, Jul 16, 2013 at 7:53 PM, Frédéric Bastien no...@nouiz.org wrote:
Hi,
On Tue, Jul 16, 2013 at 11:55 AM, Nathaniel Smith n...@pobox.com wrote:
On Tue, Jul 16, 2013 at 2:34 PM, Arink Verma arinkve...@gmail.com wrote:
Each ndarray does two mallocs, for the obj and buffer. These could
On Mon, Jul 15, 2013 at 2:33 PM, Gregorio Bastardo
gregorio.basta...@gmail.com wrote:
Hi,
On Mon, Jun 10, 2013 at 3:47 PM, Nathaniel Smith n...@pobox.com wrote:
Hi all,
Is there anyone out there using numpy masked arrays, who has an
opinion on how empty_like (and its friends ones_like,
On Wed, Jul 17, 2013 at 10:39 AM, Nathaniel Smith n...@pobox.com wrote:
On Tue, Jul 16, 2013 at 7:53 PM, Frédéric Bastien no...@nouiz.org wrote:
Hi,
On Tue, Jul 16, 2013 at 11:55 AM, Nathaniel Smith n...@pobox.com wrote:
On Tue, Jul 16, 2013 at 2:34 PM, Arink Verma
On Wed, Jul 17, 2013 at 6:21 PM, Brady McCary brady.mcc...@gmail.com
wrote:
NumPy Folks,
Would someone please discuss or point me to a discussion about the
discrepancy in size vs shape in the following MWE? In this example I
have used a grayscale PNG version of the ImageMagick logo, but any
NumPy Folks,
Would someone please discuss or point me to a discussion about the
discrepancy in size vs shape in the following MWE? In this example I
have used a grayscale PNG version of the ImageMagick logo, but any
image which is not square will do.
$ python
Python 2.7.4 (default, Apr 19 2013,
On Wed, Jul 17, 2013 at 10:57 AM, Frédéric Bastien no...@nouiz.org wrote:
On Wed, Jul 17, 2013 at 10:39 AM, Nathaniel Smith n...@pobox.com wrote:
On Tue, Jul 16, 2013 at 7:53 PM, Frédéric Bastien no...@nouiz.org
wrote:
Hi,
On Tue, Jul 16, 2013 at 11:55 AM, Nathaniel Smith
[Apologies for the cross-post]
Dear all,
If you work with Python around themes like big data, climate,
meteorological or oceanic science, and/or GIS, you should come present at
the 4th Python Symposium, as part of the American Meteorological Society
conference in Atlanta in Feb 2014: