I'd be happy with disallowing floating point index at all. I would think it
was
almost always a mistake.
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For people interested in the www.numpy.org home page:
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Thank you, Jon for this donation and for being a care-taker of the
domain-name. We have setup the domain registration to point to
numpy.github.com and I've
A big +1 from me --- but I don't have anyone I know using 2.4 anymore
-Travis
On Dec 13, 2012, at 10:34 AM, Charles R Harris wrote:
Time to raise this topic again. Opinions welcome.
Chuck
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As a point of reference, python 2.4 is on RH5/CentOS5. While RH6 is the
current version, there are still enterprises that are using version 5. Of
course, at this point, one really should be working on a migration plan and
shouldn't be doing new development on those machines...
Ben Root
+1, if someone wants to use an older version of Python they can use an
older version of numpy.
On Thu, Dec 13, 2012 at 10:36 AM, Travis Oliphant tra...@continuum.iowrote:
A big +1 from me --- but I don't have anyone I know using 2.4 anymore
-Travis
On Dec 13, 2012, at 10:34 AM,
On Thu, Dec 13, 2012 at 5:34 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Time to raise this topic again. Opinions welcome.
I am ok if 1.7 is the LTS. I would even go as far as dropping 2.5 as
well then (RHEL 6 uses python 2.6).
cheers,
David
On Thu, Dec 13, 2012 at 12:00 PM, David Cournapeau courn...@gmail.com wrote:
snip
I would even go as far as dropping 2.5 as well then (RHEL 6
uses python 2.6).
+1
Skipper
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Yes, and ditto for SciPy.
With dropped 2.4 support we can also use the new memoryview syntax instead of
ndarray syntax in Cython. That is more important for SciPy, but it has some
relevance for NumPy too.
Sturla
Sendt fra min iPad
Den 13. des. 2012 kl. 17:34 skrev Charles R Harris
Targeting = 2.6 would be preferable to me. Several other packages including
IPython, support only Python = 2.6, = 3.2.
This change would help me from accidentally writing Python syntax which is
allowable in 2.6 2.7 (but not in 2.4 or 2.5).
Compiling a newer Python interpreter isn't very
On Thu, Dec 13, 2012 at 10:12 AM, Bradley M. Froehle brad.froe...@gmail.com
wrote:
Targeting = 2.6 would be preferable to me. Several other packages
including IPython, support only Python = 2.6, = 3.2.
This change would help me from accidentally writing Python syntax which is
allowable in
On 12/13/2012 09:39 AM, Benjamin Root wrote:
As a point of reference, python 2.4 is on RH5/CentOS5. While RH6 is the
current version, there are still enterprises that are using version 5.
Of course, at this point, one really should be working on a migration
plan and shouldn't be doing new
I'd say it's a good idea, although I hope 1.7.x will still be maintained
for a while for those who are still stuck with Python 2.4-5 (sometimes you
don't have a choice).
-=- Olivier
2012/12/13 Charles R Harris charlesr.har...@gmail.com
The previous proposal to drop python 2.4 support garnered
On 12/07/2012 07:58 PM, Dag Sverre Seljebotn wrote:
One way of fixing this I'm sort of itching to do is to create a
pylapack project which can iterate quickly on these build issues,
run-time selection of LAPACK backend and so on. (With some templates
generating some Cython code it shouldn't be
On Thu, Dec 13, 2012 at 12:38 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
The previous proposal to drop python 2.4 support garnered no opposition.
How about dropping support for python 2.5 also?
Chuck
matplotlib 1.2 supports py2.5. I haven't seen any plan to move off of that
for
My apologies... we support 2.6 and above. +1 on dropping 2.5 support.
Ben
On Thu, Dec 13, 2012 at 1:12 PM, Benjamin Root ben.r...@ou.edu wrote:
On Thu, Dec 13, 2012 at 12:38 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
The previous proposal to drop python 2.4 support garnered no
On Thu, Dec 13, 2012 at 7:12 PM, Benjamin Root ben.r...@ou.edu wrote:
On Thu, Dec 13, 2012 at 12:38 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
The previous proposal to drop python 2.4 support garnered no opposition.
How about dropping support for python 2.5 also?
Chuck
On Fri, Dec 7, 2012 at 7:58 PM, Dag Sverre Seljebotn
d.s.seljeb...@astro.uio.no wrote:
One way of fixing this I'm sort of itching to do is to create a
pylapack project which can iterate quickly on these build issues,
run-time selection of LAPACK backend and so on. (With some templates
On 12/13/2012 07:59 PM, David Cournapeau wrote:
On Fri, Dec 7, 2012 at 7:58 PM, Dag Sverre Seljebotn
d.s.seljeb...@astro.uio.no wrote:
One way of fixing this I'm sort of itching to do is to create a
pylapack project which can iterate quickly on these build issues,
run-time selection of LAPACK
Hi all,
I'm porting some Fortran code that makes use of a number of BLAS and LAPACK
functions, including dbdsqr(). I've found all of the functions I need via
scipy.linalg.lapack.get_lapack_funcs/get_blas_funcs() except for dbdsqr().
I see that the numpy source code (I looked at numpy-1.6.0b2)
On Thu, Dec 13, 2012 at 12:26 PM, Philip Semanchuk phi...@semanchuk.comwrote:
Hi all,
I'm porting some Fortran code that makes use of a number of BLAS and
LAPACK functions, including dbdsqr(). I've found all of the functions I
need via scipy.linalg.lapack.get_lapack_funcs/get_blas_funcs()
13.12.2012 21:26, Philip Semanchuk kirjoitti:
I'm porting some Fortran code that makes use of a number of BLAS and
LAPACK functions, including dbdsqr(). I've found all of the functions
I need via scipy.linalg.lapack.get_lapack_funcs/get_blas_funcs() except
for dbdsqr().
[clip]
If you tolerate
On Thu, Dec 13, 2012 at 6:36 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Thu, Dec 13, 2012 at 10:12 AM, Bradley M. Froehle
brad.froe...@gmail.com wrote:
Targeting = 2.6 would be preferable to me. Several other packages
including IPython, support only Python = 2.6, = 3.2.
On Dec 13, 2012, at 3:03 PM, Pauli Virtanen wrote:
13.12.2012 21:26, Philip Semanchuk kirjoitti:
I'm porting some Fortran code that makes use of a number of BLAS and
LAPACK functions, including dbdsqr(). I've found all of the functions
I need via
On Dec 13, 2012, at 2:47 PM, Charles R Harris wrote:
On Thu, Dec 13, 2012 at 12:26 PM, Philip Semanchuk
phi...@semanchuk.comwrote:
Hi all,
I'm porting some Fortran code that makes use of a number of BLAS and
LAPACK functions, including dbdsqr(). I've found all of the functions I
need
How about dropping support for python 2.5 also?
Im still dumfounded that people are working on projects where they
are free to use the latest an greatest numpy, but *have* to use a
more-than-four-year-old-python:
Python 2.6 (final) was released on October 1st, 2008.
so +1 on moving forward!
Hi,
the following code using np.object_ data types works with numpy 1.5.1
but fails with 1.6.2. Is this intended or a regression? Other data
types, np.float64 for example, seem to work.
I am also seeing this problem; there was a change to how string types
are handled in h5py 2.1.0 which
On Thu, Dec 13, 2012 at 10:07 PM, Chris Barker - NOAA Federal
chris.bar...@noaa.gov wrote:
How about dropping support for python 2.5 also?
Im still dumfounded that people are working on projects where they
are free to use the latest an greatest numpy, but *have* to use a
On 12/13/2012 1:57 PM, Andrew Collette wrote:
Hi,
the following code using np.object_ data types works with numpy 1.5.1
but fails with 1.6.2. Is this intended or a regression? Other data
types, np.float64 for example, seem to work.
I am also seeing this problem; there was a change to how
Yes, but the point was that since you can live with an older version on
Python you can probably live with an older version of NumPy.
On Thursday, December 13, 2012, David Cournapeau wrote:
Im still dumfounded that people are working on projects where they
are free to use the latest an
Hi,
I found these recent weird failures in Travis, but I can't find any
problem with the log and all tests pass. Any ideas what is going on?
https://travis-ci.org/numpy/numpy/jobs/3570123
https://travis-ci.org/numpy/numpy/jobs/3539549
https://travis-ci.org/numpy/numpy/jobs/3369629
Ondrej
On Thu, Dec 13, 2012 at 3:01 PM, Bradley M. Froehle
brad.froe...@gmail.com wrote:
Yes, but the point was that since you can live with an older version on
Python you can probably live with an older version of NumPy.
exactly -- also:
How likely are you to nee the latest and greatest numpy but
Hi,
Another weird bug sometimes happen in
numpy/core/tests/test_iterator.py, it looks like this:
==
FAIL: test_iterator.test_iter_array_cast
--
Traceback (most
On Thu, Dec 13, 2012 at 7:23 PM, Ondřej Čertík ondrej.cer...@gmail.comwrote:
Hi,
Another weird bug sometimes happen in
numpy/core/tests/test_iterator.py, it looks like this:
==
FAIL: test_iterator.test_iter_array_cast
On Thu, Dec 13, 2012 at 8:04 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Thu, Dec 13, 2012 at 7:23 PM, Ondřej Čertík ondrej.cer...@gmail.comwrote:
Hi,
Another weird bug sometimes happen in
numpy/core/tests/test_iterator.py, it looks like this:
On Thu, Dec 13, 2012 at 7:16 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, Dec 13, 2012 at 8:04 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, Dec 13, 2012 at 7:23 PM, Ondřej Čertík ondrej.cer...@gmail.com
wrote:
Hi,
Another weird bug sometimes happen in
2012/12/13 Chris Barker - NOAA Federal chris.bar...@noaa.gov
On Thu, Dec 13, 2012 at 3:01 PM, Bradley M. Froehle
brad.froe...@gmail.com wrote:
Yes, but the point was that since you can live with an older version on
Python you can probably live with an older version of NumPy.
exactly --
+1 from me
For what is worth, we are just moving forward from Python 2.2 / Numeric
and are going to 2.6 and it has been rather painful because of the
several little details of extensions and other subtleties. I believe we
will settle there for a while. For companies like ours, it is a big
Hi all,
I have a question for the list sparked by this discussion of a bug in
NumPy 1.6.2 and 1.7:
http://mail.scipy.org/pipermail/numpy-discussion/2012-December/064682.html
and this open issue in h5py:
https://code.google.com/p/h5py/issues/detail?id=217
In h5py we need to represent variable
On Thu, 13 Dec 2012 17:35:01 +0100, Travis Oliphant teoliph...@gmail.com
wrote:
The NumPy home page can still be edited in this repository:
g...@github.com:numpy/numpy.org.git. Pull requests are always welcome
--- especially pull requests that improve the look and feel of the
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