Re: NumPy 1.0 release

2006-10-27 Thread sturlamolden
Travis E. Oliphant wrote: > We are very pleased to announce the release of NumPy 1.0 available for > download at http://www.numpy.org Congratulations to you and the other NumPy developers for completing this major undertaking. I would also like to express my sincere gratitude for making this mak

Re: NumPy 1.0 release

2006-10-26 Thread George Sakkis
Robert Kern wrote: > George Sakkis wrote: > > ImportError: > > /usr/local/lib/python2.4/site-packages/numpy/linalg/lapack_lite.so: > > undefined symbol: zheevd_ > > > > Googling for "undefined symbol: zheevd_" returned no hits, at which > > point I gave up for now; hopefully someone will have a su

Re: NumPy 1.0 release

2006-10-26 Thread Robert Kern
Robert Kern wrote: > George Sakkis wrote: >> By the way, it would be great if numpy's mailing list was mirrored to a >> google group; sourceforge and gmane are just horrible to use. > > Sorry, I don't think that Google Groups does mirroring like GMane does. Never mind. http://groups.google.c

Re: NumPy 1.0 release

2006-10-26 Thread Robert Kern
George Sakkis wrote: > ImportError: > /usr/local/lib/python2.4/site-packages/numpy/linalg/lapack_lite.so: > undefined symbol: zheevd_ > > Googling for "undefined symbol: zheevd_" returned no hits, at which > point I gave up for now; hopefully someone will have a suggestion on > what to do next (ot

Re: NumPy 1.0 release

2006-10-26 Thread George Sakkis
Travis E. Oliphant wrote: > We are very pleased to announce the release of NumPy 1.0 available for > download at http://www.numpy.org Congratulations for this great package and the tremendous effort that was put on it! Hopefully with this release, the 'array wars' are over; we may not be able to a

[ANN] NumPy 1.0 release

2006-10-26 Thread Travis E. Oliphant
We are very pleased to announce the release of NumPy 1.0 available for download at http://www.numpy.org This release is the culmination of over 18 months of effort to allow unification of the Numeric and Numarray communities. NumPy provides the features of both packages as well as comparable