No subject


Thu Nov 16 16:52:29 CST 2006


representation.  What I want is a data representation that is independent
of python.  Anyway, I now have a few possibilities to explore besides
netcdf (with the alternative file formats FITS and with pytables, i.e. HDF5,
 proposed here).

> I think you should take a look at PyTables for more elegant solutions.

I wasn't sure if it will stay compatible to scipy_core, because right now it
uses numarray.  But from what you said I am sure that eventually pytables
might also switch to scipy_core.

Best regards, and thanks for your efforts,

Niklas.


______________________________________________________________________
XXL-Speicher, PC-Virenschutz, Spartarife & mehr: Nur im WEB.DE Club!		
Jetzt gratis testen! http://freemail.web.de/home/landingpad/?mc=021130


--=-------------11316260778566716386
Content-Type: application/x-gzip;
 name="messages.tar.gz"
Content-Disposition: attachment;
 filename="messages.tar.gz"
Content-Transfer-Encoding: base64
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--=-------------11316260778566716386--




More information about the Numpy-discussion mailing list