Hi All,
I'm playing with the idea of building a simplified datetime class on top of
the current numpy implementation. I believe Pandas does something like
this, and blaze will (does?) have a simplified version. The reason for the
new class would be to have an easier, and hopefully more portable,
Antoine Pitrou solip...@pitrou.net wrote:
By always using an aligned allocator there is some overhead:
- all arrays occupy a bit more memory by a small average amount
(probably 16 bytes average on a 64-bit machine, for a 16 byte
guaranteed alignment)
NumPy arrays are Python objects. They
I took time to create mingw-w64 based wheels of numpy-1.9.1 and
scipy-0.15.1 source distributions and put them on
https://bitbucket.org/carlkl/mingw-w64-for-python/downloads as well as on
binstar.org. The test matrix is python-2.7 and 3.4 for both 32bit and
64bit.
Feedback is welcome.
The wheels
Thanks Carl,
This is good to hear. I presume that the AMD64 is covered.
Colin W.
On 22-Jan-15 4:29 PM, Carl Kleffner
wrote:
I took time to create mingw-w64 based wheels of numpy-1.9.1 and
scipy-0.15.1 source distributions and put them on
On Thu, Jan 22, 2015 at 7:54 AM, Nathaniel Smith n...@pobox.com wrote:
On Thu, Jan 22, 2015 at 2:51 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Hi All,
I'm playing with the idea of building a simplified datetime class on top
of
the current numpy implementation. I believe
On Thu, Jan 22, 2015 at 2:51 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Hi All,
I'm playing with the idea of building a simplified datetime class on top of
the current numpy implementation. I believe Pandas does something like this,
and blaze will (does?) have a simplified version.
On Thu, Jan 22, 2015 at 8:08 AM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Thu, Jan 22, 2015 at 7:54 AM, Nathaniel Smith n...@pobox.com wrote:
On Thu, Jan 22, 2015 at 2:51 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Hi All,
I'm playing with the idea of building a
Were there any failures with the 64 bit build, or did all tests pass?
Sturla
On 22/01/15 22:29, Carl Kleffner wrote:
I took time to create mingw-w64 based wheels of numpy-1.9.1 and
scipy-0.15.1 source distributions and put them on
https://bitbucket.org/carlkl/mingw-w64-for-python/downloads
On Thu, Jan 22, 2015 at 9:29 PM, Carl Kleffner cmkleff...@gmail.com wrote:
I took time to create mingw-w64 based wheels of numpy-1.9.1 and scipy-0.15.1
source distributions and put them on
https://bitbucket.org/carlkl/mingw-w64-for-python/downloads as well as on
binstar.org. The test matrix is
Yes,
I build win32 as well as amd64 binaries.
Carlkl
2015-01-22 23:06 GMT+01:00 cjw c...@ncf.ca:
Thanks Carl,
This is good to hear. I presume that the AMD64 is covered.
Colin W.
On 22-Jan-15 4:29 PM, Carl Kleffner wrote:
I took time to create mingw-w64 based wheels of numpy-1.9.1
On Thu, Jan 22, 2015 at 3:18 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, Jan 22, 2015 at 8:08 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, Jan 22, 2015 at 7:54 AM, Nathaniel Smith n...@pobox.com wrote:
On Thu, Jan 22, 2015 at 2:51 PM, Charles R Harris
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