On Wed, Feb 10, 2016 at 4:22 PM, Chris Barker wrote:
> We might consider adding "improve duck typing for numpy arrays"
>>
>
> care to elaborate on that one?
>
> I know it come up on here that it would be good to have some code in numpy
> itself that made it easier to make array-like objects (I.e.
On Sat, Feb 13, 2016 at 9:55 AM, Jonathan Helmus wrote:
>
>
> On 2/12/16 10:23 PM, Matthew Brett wrote:
>>
>> On Fri, Feb 12, 2016 at 8:18 PM, R Schumacher wrote:
>>>
>>> At 03:45 PM 2/12/2016, you wrote:
PS C:\tmp> c:\Python35\python -m venv np-testing
PS C:\tmp> .\np-testing\Scri
On Tue, Feb 16, 2016 at 2:48 PM, Joseph Fox-Rabinovitz <
jfoxrabinov...@gmail.com> wrote:
> Please correct me if I misunderstood, but the code in that commit is
> doing a full sort, somewhat similar to what
> `scipy.stats.scoreatpercentile`. If that is correct, I will run some
> benchmarks first,
In principle this should work (offer may be void on windows which has its
own special weirdnesses, but I assume you're not on windows). icc and gcc
should both support the same calling conventions and so forth. It sounds
like you're just running into an annoying build system configuration issue
whe
Please correct me if I misunderstood, but the code in that commit is
doing a full sort, somewhat similar to what
`scipy.stats.scoreatpercentile`. If that is correct, I will run some
benchmarks first, but I think there is value to going forward with a
numpy version that extends the current partition
I'm not sure about anyone else, but having been playing around with both
gcc and icc, I'm afraid you might be out of luck. Is there any reason why
you can't use a Python distribution built with gcc?
On Tue, Feb 16, 2016 at 7:39 PM, BERGER Christian
wrote:
> Hi All,
>
>
>
> Here's a potentially
Hi All,
Here's a potentially dumb question: is it possible to build NumPy with gcc, if
python was built with icc?
Right now, the build is failing in the toolchain check phase, because gcc
doesn't know how to handle icc-specific c flags (like -fp-model, prec-sqrt, ...)
In our environment we're pr
On Tue, Feb 16, 2016 at 1:41 PM, Joseph Fox-Rabinovitz <
jfoxrabinov...@gmail.com> wrote:
> Thanks for pointing me to that. I had something a bit different in
> mind but that definitely looks like a good start.
>
> On Tue, Feb 16, 2016 at 1:32 PM, Antony Lee
> wrote:
> > See earlier discussion he
Thanks for pointing me to that. I had something a bit different in
mind but that definitely looks like a good start.
On Tue, Feb 16, 2016 at 1:32 PM, Antony Lee wrote:
> See earlier discussion here: https://github.com/numpy/numpy/issues/6326
> Basically, naïvely sorting may be faster than a not-s
See earlier discussion here: https://github.com/numpy/numpy/issues/6326
Basically, naïvely sorting may be faster than a not-so-optimized version of
quickselect.
Antony
2016-02-15 21:49 GMT-08:00 Joseph Fox-Rabinovitz :
> I would like to add a `weights` keyword to `np.partition`,
> `np.percentile
Just something I tried with pandas:
>>> image
array([[[ 0, 1, 2, 3, 4],
[ 5, 6, 7, 8, 9],
[10, 11, 12, 13, 14],
[15, 16, 17, 18, 19]],
[[20, 21, 22, 23, 24],
[25, 26, 27, 28, 29],
[30, 31, 32, 33, 34],
[35, 36, 37, 38, 39]],
[
On Di, 2016-02-16 at 00:13 -0500, josef.p...@gmail.com wrote:
>
>
> On Tue, Feb 16, 2016 at 12:09 AM, wrote:
> >
> >
> >
> >
> > Or, it forces everyone to watch out for the color of the ducks :)
> >
> > It's just a number, whether it's python scalar, numpy scalar, 1D or
> > 2D.
> > And onc
2016-02-16 10:04 GMT+01:00 Robert McLeod :
> On Mon, Feb 15, 2016 at 10:43 AM, Gregor Thalhammer <
> gregor.thalham...@gmail.com> wrote:
>
>>
>> Dear Robert,
>>
>> thanks for your effort on improving numexpr. Indeed, vectorized math
>> libraries (VML) can give a large boost in performance (~5x), e
On Mon, Feb 15, 2016 at 10:43 AM, Gregor Thalhammer <
gregor.thalham...@gmail.com> wrote:
>
> Dear Robert,
>
> thanks for your effort on improving numexpr. Indeed, vectorized math
> libraries (VML) can give a large boost in performance (~5x), except for a
> couple of basic operations (add, mul, di
On Mon, Feb 15, 2016 at 7:28 AM, Ralf Gommers
wrote:
>
>
> On Sun, Feb 14, 2016 at 11:19 PM, Robert McLeod
> wrote:
>
>>
>> 4.) I took a stab at converting from distutils to setuputils but this
>> seems challenging with numpy as a dependency. I wonder if anyone has tried
>> monkey-patching so th
15 matches
Mail list logo