Re: [Edu-sig] Properties use case
In a message of Tue, 21 Mar 2006 11:17:42 CST, "Michael Tobis" writes:
I use numeric a lot, and I understand what you mean.
Perhaps there is some Python-like scientific language yet to be invented, but on the other hand, perhaps the interface between convenient latent typing and efficient strong typing may be fated to always be a bit uncomfortable.
PyPy. we are working on it. Type inference engine works now, JIT about to happen .... Dynamic Languages Need Not Be Slow!! (Psyco and now PyPy Slogan) Laura <snipped the x-reference ...>
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
participants (3)
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ajsiegelīŧ optonline.net -
Laura Creighton -
Michael Tobis