On ubuntu 13.10 with the following packages installed:
libopenblas-base
libopenblas-dev
liblapack-dev
liblapack3
site.cfg:
[DEFAULT]
library_dirs = /usr/lib
include_dirs = /usr/lib/openblas-base
[openblas]
libraries = openblas
library_dirs = /usr/lib/openblas-base
include_dirs = /usr/lib/openblas-
On 03/11/2012 03:52 PM, Pauli Virtanen wrote:
> 11.03.2012 15:12, xavier.gn...@gmail.com kirjoitti:
> [clip]
>> If this description is correct, Numba is an additional pass once the
>> cpython bytecode has be produced by cpython.
>> Is it correct??
>> Is pytho
It says : " Numba is a NumPy aware optimizing compiler for Python. It
uses the remarkable LLVM compiler infrastructure to compile Python
byte-code to machine code especially for use in the NumPy run-time and
SciPy modules."*
*
If this description is correct, Numba is an additional pass once the
ere:
>
> http://technicaldiscovery.blogspot.com/2011/10/thoughts-on-porting-numpy-to-pypy.html
>
>
> -Travis
>
> On Feb 19, 2012, at 9:45 AM, xavier.gn...@gmail.com
> <mailto:xavier.gn...@gmail.com> wrote:
>
>> Hi,
>>
>> I'm trying to understand what's going on
On 02/19/2012 04:48 PM, Sturla Molden wrote:
> Den 19.02.2012 10:28, skrev Mark Wiebe:
>> Particular styles of using templates can cause this, yes. To properly
>> do this kind of advanced C++ library work, it's important to think
>> about the big-O notation behavior of your template instantiations,
Hi,
I'm trying to understand what's going on with :
http://morepypy.blogspot.com/2012/01/numpypy-status-update.html
What's your opinion on such a numpy rewrite??
Thanks,
Xavier
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