Matthew Brett, on 2013-04-06 10:39, wrote:
> Hi,
>
> On Sat, Apr 6, 2013 at 10:18 AM, matti picus wrote:
> > as a lurker, may I say that this discussion seems to have become
> > non-productive?
>
> Well - the discussion is about two things - as so often the case on numpy.
>
> The first is abou
On Sun, Apr 7, 2013 at 5:56 PM, Charles R Harris
wrote:
>
>
> On Sun, Apr 7, 2013 at 5:23 PM, Tom Aldcroft <
> aldcr...@head.cfa.harvard.edu> wrote:
>
>> I'm seeing about a factor of 50 difference in performance between
>> sorting a random integer array versus sorting that same array viewed
>> as
On Sun, Apr 7, 2013 at 5:23 PM, Tom Aldcroft
wrote:
> I'm seeing about a factor of 50 difference in performance between
> sorting a random integer array versus sorting that same array viewed
> as a structured array. Am I doing anything wrong here?
>
> In [2]: x = np.random.randint(1, size=100
I'm seeing about a factor of 50 difference in performance between
sorting a random integer array versus sorting that same array viewed
as a structured array. Am I doing anything wrong here?
In [2]: x = np.random.randint(1, size=1)
In [3]: xarr = x.view(dtype=[('a', np.int)])
In [4]: tim
That's awesome. I'm definitely one of the targeted audience. Thanks.
On Sun, Apr 7, 2013 at 5:40 PM, David Cournapeau wrote:
> I have prepared a preliminary proposal
> https://github.com/enthought/davidc-scipy-2013/blob/master/proposal.rst
>
> Roughly, after ensuring everybody knows how to buil
On 04/07/2013 05:59 PM, Nathaniel Smith wrote:
> On Sun, Apr 7, 2013 at 10:49 PM, Olivier Delalleau wrote:
>> 2013/4/7
>>>
>>> On Sun, Apr 7, 2013 at 5:34 PM, Steve Waterbury
>>> wrote:
On 04/07/2013 05:30 PM, Nathaniel Smith wrote:
> On Sun, Apr 7, 2013 at 10:25 PM, Steve Waterbury
>>>
On Sun, Apr 7, 2013 at 10:49 PM, Olivier Delalleau wrote:
> 2013/4/7
>>
>> On Sun, Apr 7, 2013 at 5:34 PM, Steve Waterbury
>> wrote:
>> > On 04/07/2013 05:30 PM, Nathaniel Smith wrote:
>> >> On Sun, Apr 7, 2013 at 10:25 PM, Steve Waterbury
>> >> wrote:
>> >>> On 04/07/2013 05:02 PM, Chris Barke
2013/4/7
> On Sun, Apr 7, 2013 at 5:34 PM, Steve Waterbury
> wrote:
> > On 04/07/2013 05:30 PM, Nathaniel Smith wrote:
> >> On Sun, Apr 7, 2013 at 10:25 PM, Steve Waterbury
> >> wrote:
> >>> On 04/07/2013 05:02 PM, Chris Barker - NOAA Federal wrote:
> On Sun, Apr 7, 2013 at 8:06 AM, Daπid
On Sun, Apr 7, 2013 at 5:34 PM, Steve Waterbury wrote:
> On 04/07/2013 05:30 PM, Nathaniel Smith wrote:
>> On Sun, Apr 7, 2013 at 10:25 PM, Steve Waterbury
>> wrote:
>>> On 04/07/2013 05:02 PM, Chris Barker - NOAA Federal wrote:
On Sun, Apr 7, 2013 at 8:06 AM, Daπid wrote:
> On 7 April
I have prepared a preliminary proposal
https://github.com/enthought/davidc-scipy-2013/blob/master/proposal.rst
Roughly, after ensuring everybody knows how to build numpy from
sources in a dev-friendly way, I was thinking about
- describing the source code tree organization
- talk about the main
On 04/07/2013 05:30 PM, Nathaniel Smith wrote:
> On Sun, Apr 7, 2013 at 10:25 PM, Steve Waterbury
> wrote:
>> On 04/07/2013 05:02 PM, Chris Barker - NOAA Federal wrote:
>>> On Sun, Apr 7, 2013 at 8:06 AM, Daπid wrote:
On 7 April 2013 16:53, Happyman wrote:
>>>
$pip install numpy # to i
On Sun, Apr 7, 2013 at 10:25 PM, Steve Waterbury
wrote:
> On 04/07/2013 05:02 PM, Chris Barker - NOAA Federal wrote:
>> On Sun, Apr 7, 2013 at 8:06 AM, Daπid wrote:
>>> On 7 April 2013 16:53, Happyman wrote:
>>
>>> $pip install numpy # to install package "numpy"
>>
>> as a warning, last I checke
On 04/07/2013 05:02 PM, Chris Barker - NOAA Federal wrote:
> On Sun, Apr 7, 2013 at 8:06 AM, Daπid wrote:
>> On 7 April 2013 16:53, Happyman wrote:
>
>> $pip install numpy # to install package "numpy"
>
> as a warning, last I checked pip did not support binary installs ...
Guess you didn't chec
On Sun, Apr 7, 2013 at 2:26 PM, Valentin Haenel wrote:
> I know that the address is contained in the 'data' field of the
> '__array_interface__' and is either an int or a long. My guess is that
> this depends on the architecture of the system, i.e. 32 vs 64 bit
> systems.
>
> My question is: what
On Sun, Apr 7, 2013 at 8:06 AM, Daπid wrote:
> On 7 April 2013 16:53, Happyman wrote:
> $pip install numpy # to install package "numpy"
as a warning, last I checked pip did not support binary installs, and
you really want a binary installer for numpy/scipy, unless you've got
your development en
On Sun, Apr 7, 2013 at 11:28 AM, Sergio Rojas wrote:
> I am using a function which under python 2.2.7 and numpy 1.6.1
> returns a "list" (called d) whose elements are of type
> "numpy.string_" (see below).
>
> Under python 3.3.0 and numpy 1.7.0 the same function returns the
> list as an object of
On Sun, Apr 7, 2013 at 6:26 AM, Valentin Haenel wrote:
> I am currently working with a C extension that wraps a C library.
>
> The library contains a function that takes, amongst others, a 'void *'
> as an argument. Now, I would like for that function to be able to read
> the 'data' buffer of a nu
We are pleased to announce the availability of SciPy 0.12.0. This release
has some cool new features (see highlights below) and a large amount of bug
fixes and maintenance work under the hood. The number of contributors also
keeps rising steadily - 75 people contributed patches to this release. We
Hello,
For most people who want to be doing amazing things through python with
little fuss, you'd probably be better off downloading a comprehensive
distribution that includes many useful modules. Some examples of several -
For windows:
Pythonxy - http://code.google.com/p/pythonxy/wiki/Downloads
Dear all,
I am using a function which under python 2.2.7 and numpy 1.6.1
returns a "list" (called d) whose elements are of type
"numpy.string_" (see below).
Under python 3.3.0 and numpy 1.7.0 the same function returns the
list as an object of type "builtins.list" whose elements are
of type "nump
On 07/04/2013 10:32 AM, Happyman wrote:
Hello,
I started using python
4-5 months ago. At that time I didn't realize there are
incredibly many resource like modules, additional programs
(ready one) in python. The problem is to which one
On 7 April 2013 16:53, Happyman wrote:
> I completed my Registration..but still no idea how to use it..it is ,may
> be, lack of experience of python ..
>
You don't need registration. The easiest way to use it is via pip or
easy_install. If you are on Windows, download and execute the easy_instal
thanks Oliver
I completed my Registration..but still no idea how to use it..it is ,may be,
lack of experience of python ..
could you show the basic steps??
Воскресенье, 7 апреля 2013, 10:41 -04:00 от Olivier Delalleau :
>The Python Package Index ( https://pypi.python.org/pypi ) is to my know
The Python Package Index (https://pypi.python.org/pypi) is to my knowledge
the largest centralized source of Python packages. That's where
easy_install and pip typically fetch them so that you can install from the
command line without manual download.
-=- Olivier
2013/4/7 Happyman
> Hello,
>
>
Hello,
I started using python 4-5 months ago. At that time I didn't realize there are
incredibly many resource like modules, additional programs (ready one) in
python. The problem is to which one I can get all I want "properly". I mean
where (exact place) I can download standard modules withou
07.04.2013 16:26, Valentin Haenel kirjoitti:
[clip]
> My question is: what is the correct type to use when using
> PyArg_ParseTuple to convert the value.
[clip]
This is probably the most correct option:
http://docs.python.org/2/c-api/long.html#PyLong_AsVoidPtr
Not via ParseTuple, though.
--
P
Hi,
I am currently working with a C extension that wraps a C library.
The library contains a function that takes, amongst others, a 'void *'
as an argument. Now, I would like for that function to be able to read
the 'data' buffer of a numpy array and thus need to pass address from
Python down int
On Sun, Apr 7, 2013 at 11:40 AM, Colin J. Williams
wrote:
> On 07/04/2013 4:09 AM, Ondřej Čertík wrote:
>
> [snip]
> P.S. I'll create the Mac binary installers in a few days. Pypi is updated.
>
>
>
> [snip]
>
> Ondřej,
>
> I've seen the PyPi version *criticized on the grounds that it makes no
>
On 07/04/2013 4:09 AM, Ondřej Čertík
wrote:
[snip]
P.S. I'll create the Mac binary installers in a few days. Pypi is updated.
[snip]
Ondřej,
I've seen the PyPi version criticized
on the grounds that it makes no
On 07/04/2013 1:03 AM, Ondřej Čertík
wrote:
On Tue, Mar 26, 2013 at 6:32 PM, Ondřej Čertík wrote:
[...]
Yes. I created an issue here for them to test it:
https://github.com/scikit-learn/scikit-learn/issues/1809
Just to make sure.
Th
Hello all!
I am a bit confused by the behaviour of mrecarray:
>>> import numpy.ma.mrecords
>>> data = [(1, 'a'), (2, 'b')]
>>> ra = numpy.rec.fromrecords(data)
>>> mra = numpy.ma.mrecords.fromrecords(data)
>>> ra
rec.array([(1, 'a'), (2, 'b')],
dtype=[('f0', '>> mra
masked_records(
f0 :
Hi,
I'm pleased to announce the availability of the final NumPy 1.7.1 release.
Sources and binary installers can be found at
https://sourceforge.net/projects/numpy/files/NumPy/1.7.1/
Only three simple bugs were fixed since 1.7.1rc1 (#3166, #3179, #3187).
I would like to thank everybody who cont
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