While PyPy is a most admirable endeavor, I can't imagine that it can resolve this problem. I'll be most pleased to discover that I am wrong, so please correct me.
Is scientific programming a target usage of PyPy? In particular, how could large arrays of numbers of homogeneous type be handled outside the Numeric-type libraries in such a way that efficient computation is possible and also provide a guarantee the memory mapping of the data to allow interoperation with compiled languages? Surely a reimplementation of BLAS, Atlas, Lapack, etc is not part of PyPy's mission. So how is the success of PyPy going to have great relevance to Numeric/numarray/numpy users? mt _______________________________________________ Edu-sig mailing list [email protected] http://mail.python.org/mailman/listinfo/edu-sig
