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
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', 'i4'), ('f1', '|S1')])
mra
masked_records(
On 07/04/2013 1:03 AM, Ondřej Čertík
wrote:
On Tue, Mar 26, 2013 at 6:32 PM, Ondřej Čertík ondrej.cer...@gmail.com wrote:
[...]
Yes. I created an issue here for them to test it:
https://github.com/scikit-learn/scikit-learn/issues/1809
Just to make
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.
--
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 without
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
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 sh...@keba.be:
The Python Package Index ( https://pypi.python.org/pypi )
On 7 April 2013 16:53, Happyman bahtiyor_zohi...@mail.ru 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
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
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
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 -
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
On Sun, Apr 7, 2013 at 6:26 AM, Valentin Haenel valen...@haenel.co 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'
On Sun, Apr 7, 2013 at 11:28 AM, Sergio Rojas sergi...@mail.com 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
On Sun, Apr 7, 2013 at 8:06 AM, Daπid davidmen...@gmail.com wrote:
On 7 April 2013 16:53, Happyman bahtiyor_zohi...@mail.ru 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
On Sun, Apr 7, 2013 at 2:26 PM, Valentin Haenel valen...@haenel.co 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
On 04/07/2013 05:02 PM, Chris Barker - NOAA Federal wrote:
On Sun, Apr 7, 2013 at 8:06 AM, Daπid davidmen...@gmail.com wrote:
On 7 April 2013 16:53, Happyman bahtiyor_zohi...@mail.ru wrote:
$pip install numpy # to install package numpy
as a warning, last I checked pip did not support binary
On Sun, Apr 7, 2013 at 10:25 PM, Steve Waterbury
water...@pangalactic.us wrote:
On 04/07/2013 05:02 PM, Chris Barker - NOAA Federal wrote:
On Sun, Apr 7, 2013 at 8:06 AM, Daπid davidmen...@gmail.com wrote:
On 7 April 2013 16:53, Happyman bahtiyor_zohi...@mail.ru wrote:
$pip install numpy # to
On 04/07/2013 05:30 PM, Nathaniel Smith wrote:
On Sun, Apr 7, 2013 at 10:25 PM, Steve Waterbury
water...@pangalactic.us wrote:
On 04/07/2013 05:02 PM, Chris Barker - NOAA Federal wrote:
On Sun, Apr 7, 2013 at 8:06 AM, Daπid davidmen...@gmail.com wrote:
On 7 April 2013 16:53, Happyman
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 Sun, Apr 7, 2013 at 5:34 PM, Steve Waterbury water...@pangalactic.us wrote:
On 04/07/2013 05:30 PM, Nathaniel Smith wrote:
On Sun, Apr 7, 2013 at 10:25 PM, Steve Waterbury
water...@pangalactic.us wrote:
On 04/07/2013 05:02 PM, Chris Barker - NOAA Federal wrote:
On Sun, Apr 7, 2013 at 8:06
2013/4/7 josef.p...@gmail.com
On Sun, Apr 7, 2013 at 5:34 PM, Steve Waterbury water...@pangalactic.us
wrote:
On 04/07/2013 05:30 PM, Nathaniel Smith wrote:
On Sun, Apr 7, 2013 at 10:25 PM, Steve Waterbury
water...@pangalactic.us wrote:
On 04/07/2013 05:02 PM, Chris Barker - NOAA Federal
On Sun, Apr 7, 2013 at 10:49 PM, Olivier Delalleau sh...@keba.be wrote:
2013/4/7 josef.p...@gmail.com
On Sun, Apr 7, 2013 at 5:34 PM, Steve Waterbury water...@pangalactic.us
wrote:
On 04/07/2013 05:30 PM, Nathaniel Smith wrote:
On Sun, Apr 7, 2013 at 10:25 PM, Steve Waterbury
On 04/07/2013 05:59 PM, Nathaniel Smith wrote:
On Sun, Apr 7, 2013 at 10:49 PM, Olivier Delalleau sh...@keba.be wrote:
2013/4/7 josef.p...@gmail.com
On Sun, Apr 7, 2013 at 5:34 PM, Steve Waterbury water...@pangalactic.us
wrote:
On 04/07/2013 05:30 PM, Nathaniel Smith wrote:
On Sun, Apr 7,
That's awesome. I'm definitely one of the targeted audience. Thanks.
On Sun, Apr 7, 2013 at 5:40 PM, David Cournapeau courn...@gmail.com wrote:
I have prepared a preliminary proposal
https://github.com/enthought/davidc-scipy-2013/blob/master/proposal.rst
Roughly, after ensuring everybody
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]:
On Sun, Apr 7, 2013 at 5:23 PM, Tom Aldcroft
aldcr...@head.cfa.harvard.eduwrote:
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 =
On Sun, Apr 7, 2013 at 5:56 PM, Charles R Harris
charlesr.har...@gmail.comwrote:
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
Matthew Brett, on 2013-04-06 10:39, wrote:
Hi,
On Sat, Apr 6, 2013 at 10:18 AM, matti picus matti.pi...@gmail.com 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
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