On Sun, Sep 26, 2010 at 11:42 PM,  <josef.pktd@gmail.com> wrote:
> On Sun, Sep 26, 2010 at 11:03 PM, Ben Longstaff <longstaff2009@gmail.com> wrote:
>> numpy 1.5.0 (installed from numpy-1.5.0-win32-superpack-python2.6.exe from
>> sourceforge.net)
>> scipy 0.8.0 (installed from scipy-0.8.0-win32-superpack-python2.6.exe from
>> sourceforge.net)
>> python 2.6.6 (installed with ActivePython 2.6.6.15)
>
> It's a safe combination, and the cython warning has no effect.
>
> (Maybe a disclaimer: There's always a chance that new things show up,
> but I haven't heard of any problems.)

Just a side comment: ActiveState is distributing (since June)

"New packages for data centric financial modeling and scientific
computing applications (available in ActivePython Business,
Enterprise, and OEM Editions):
   * NumPy: The fundamental library needed for financial and
scientific computing with Python
   * SciPy: A suite of scientific tools for Python, depends on the
NumPy library
   * matplotlib: A Python numerical plotting library
"

because of changes in US financial regulation. So maybe we get some
additional testing out of it.

Josef

>
> Josef
>
>>
>> On Mon, Sep 27, 2010 at 12:26 PM, <josef.pktd@gmail.com> wrote:
>>>
>>> On Sun, Sep 26, 2010 at 9:57 PM, Ben Longstaff <longstaff2009@gmail.com>
>>> wrote:
>>> > Is the warning message produced by the test script below an issue I need
>>> > to
>>> > address if I am to use the numpy and scipy libraries? The script below
>>> > gives
>>> > me the warning below on both windows 7 and vista
>>> > Thanks for your time
>>> > Ben
>>> >
>>> > Python Script
>>> >
>>> > #!/path/to/python
>>> > import re, string, sys
>>> > from numpy import *
>>> > import scipy.weave
>>> > print "Hello, World!"
>>> >
>>> > Warning Message
>>> > C:\Python26\lib\site-packages\scipy\io\matlab\mio5.py:90:
>>> > RuntimeWarning:
>>> > __builtin__.file size changed, may indicate binary incompatibility
>>> >   from mio5_utils import VarReader5
>>> >
>>> > Hello, World!
>>>
>>> Which numpy and scipy versions are you using? e.g. scipy.__version__
>>> np.__version__
>>>
>>> This looks like a warning from cython, but the versions are still
>>> binary compatible, and there shouldn't be any problems.
>>> (with all numpy except 1.4.0 and 2.x in repository)
>>>