On Fri, Mar 7, 2008 at 11:41 AM, william ratcliff
[EMAIL PROTECTED] wrote:
Will Cython be compatible with OpenMP? I tried with weave some time back
and failed miserably. Has anyone tried with ctypes?
As far as I know cython has no explicit OpenMP support, but it *may*
be possible to get it to
Hi Joris,
On Fri, Mar 7, 2008 at 8:10 AM, Joris De Ridder
[EMAIL PROTECTED] wrote:
Thanks. I've a few questions concerning the objections against ctypes.
It's part of the Python standard library, brand new from v2.5, and it
allows creating extensions. Disregarding it, requires therefore
Hi Robin,
On Fri, Mar 7, 2008 at 8:36 AM, Robin [EMAIL PROTECTED] wrote:
I hadn't seen the link Ondrej provided, although the 40 hour week
seems to be a Python/PSF requirement. Prior to posting I had checked
the Google information, where they say the time commitment depends on
both the
===
Announcing PyTables 2.0.3
===
PyTables is a library for managing hierarchical datasets and designed to
efficiently cope with extremely large amounts of data with support for
full 64-bit file addressing. PyTables runs on top of the HDF5 library
Hi,
Mumscons 0.5.1 is available through pypi (eggs and tarballs). This
is the first version which can build the whole scipy source tree. To
build scipy with numscons, you should first get the code in the branch:
svn co http://svn.scipy.org/svn/scipy/branches/build_with_scons
And then
Hi,
I think I found a bug in numpy/distutils/ccompiler.py - and wanted to
check that no-one has any objections before I fix it.
These lines (390ff distutils.ccompiler.py)
for _cc in ['msvc', 'bcpp', 'cygwinc', 'emxc', 'unixc']:
_m = sys.modules.get('distutils.'+_cc+'compiler')
if _m
On Sat, Mar 8, 2008 at 4:10 PM, Matthew Brett [EMAIL PROTECTED] wrote:
Hi,
I think I found a bug in numpy/distutils/ccompiler.py - and wanted to
check that no-one has any objections before I fix it.
These lines (390ff distutils.ccompiler.py)
for _cc in ['msvc', 'bcpp', 'cygwinc',
* This may be a dupe as gmail hotkeys sent a draft prematurely...
After scouring material and books I remain stumped with this one as a
new Numpy user-
I have an ND array with shape (10,15) and want to slice or subset(?) the data
into a new 2D array with the following criteria:
1) Separate each
On 08/03/2008, Vince Fulco [EMAIL PROTECTED] wrote:
I have an ND array with shape (10,15) and want to slice or subset(?) the data
into a new 2D array with the following criteria:
1) Separate each 5 observations along axis=0 (row) and transpose them to
the new array with shape (50,3)
