Hi Francesc,
Il 26/04/2013 14:11, Francesc Alted ha scritto:
Hi Antonio,
Al 26/04/13 08:46, En/na Antonio Valentino ha escrit:
Hi Francesc,
Il 25/04/2013 23:06, Francesc Alted ha scritto:
Thanks. Will do!
Thanks.
For the record patches 0002 and 0003 close issue [75] and [77].
Also
Hi Francesc,
Il 25/04/2013 23:06, Francesc Alted ha scritto:
Thanks. Will do!
Thanks.
For the record patches 0002 and 0003 close issue [75] and [77].
Also numexpr 2.1 closes [91] and [95]
[75] https://code.google.com/p/numexpr/issues/detail?id=75
[77]
Hi Antonio,
Al 26/04/13 08:46, En/na Antonio Valentino ha escrit:
Hi Francesc,
Il 25/04/2013 23:06, Francesc Alted ha scritto:
Thanks. Will do!
Thanks.
For the record patches 0002 and 0003 close issue [75] and [77].
Also numexpr 2.1 closes [91] and [95]
[75]
Hi Francesc,
Il 14/04/2013 22:19, Francesc Alted ha scritto:
Announcing Numexpr 2.1RC1
Numexpr is a fast numerical expression evaluator for NumPy. With it,
expressions that operate on arrays (like 3*a+4*b) are accelerated
and
Thanks. Will do!
El 25/04/2013 21:02, Antonio Valentino antonio.valent...@tiscali.it va
escriure:
Hi Francesc,
Il 14/04/2013 22:19, Francesc Alted ha scritto:
Announcing Numexpr 2.1RC1
Numexpr is a fast numerical
Al 14/04/13 23:12, En/na Christoph Gohlke ha escrit:
Hello,
Looks good. All tests pass here on Python 2.6-3.3, 3264 bit, numpy
1.7.1, VML/MKL 11.0.3, Windows 8. PyTables 2.4 also tests OK against the rc.
Two small issues:
1) numexpr-2.1-rc1.tar.gz is missing the file