On Sat, Aug 31, 2013 at 10:27 AM, Travis Oliphant wrote:
> Done for SciPy.
>
>
Thanks Travis.
Chuck
>
>
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Done for SciPy.
-Travis
On Sat, Aug 31, 2013 at 10:19 AM, Robert Kern wrote:
> On Sat, Aug 31, 2013 at 4:18 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>>
>> On Sat, Aug 31, 2013 at 8:41 AM, Robert Kern wrote:
>>
>>> On Sat, Aug 31, 2013 at 3:09 PM, Charles R Harris <
>>> cha
==
Announcing Numexpr 2.2
==
Numexpr is a fast numerical expression evaluator for NumPy. With it,
expressions that operate on arrays (like "3*a+4*b") are accelerated
and use less memory than doing the same calculation in Python.
It wears multi-thr
On Sat, Aug 31, 2013 at 9:19 AM, Robert Kern wrote:
> On Sat, Aug 31, 2013 at 4:18 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>>
>> On Sat, Aug 31, 2013 at 8:41 AM, Robert Kern wrote:
>>
>>> On Sat, Aug 31, 2013 at 3:09 PM, Charles R Harris <
>>> charlesr.har...@gmail.com> wrote
On Sat, Aug 31, 2013 at 4:18 PM, Charles R Harris wrote:
>
> On Sat, Aug 31, 2013 at 8:41 AM, Robert Kern wrote:
>
>> On Sat, Aug 31, 2013 at 3:09 PM, Charles R Harris <
>> charlesr.har...@gmail.com> wrote:
>>
>>> Hi Travis, Robert, et al
>>>
>>> As part of fixing up the release infrastructure it
On Sat, Aug 31, 2013 at 8:41 AM, Robert Kern wrote:
> On Sat, Aug 31, 2013 at 3:09 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>> Hi Travis, Robert, et al
>>
>> As part of fixing up the release infrastructure it would be helpful if
>> you could make Ralf and myself admins of the
On Sat, Aug 31, 2013 at 3:09 PM, Charles R Harris wrote:
> Hi Travis, Robert, et al
>
> As part of fixing up the release infrastructure it would be helpful if you
> could make Ralf and myself admins of the numpy and scipy sites on
> Sourceforge. Thoughts?
>
What is your SF user name? I have take
Hi Travis, Robert, et al
As part of fixing up the release infrastructure it would be helpful if you
could make Ralf and myself admins of the numpy and scipy sites on
Sourceforge. Thoughts?
Chuck
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Thanks for the explanation.
In fact, since the 4 components of 'b' are contiguous in memory, I wanted to
find a way to express that fact in the dtype.
Z = np.zeros(10, [('a', np.float32, 3), ('b', np.float32, 4)])
Z['b'].strides
(28,4)
Z = np.zeros((10,4), np.float32)
Z.strides
(16,4)
Z = np.