> I will take a deeper look at those libraries, but my own opinion > (which I don't claim to represent any consensus of numpy developers at > large) is that for this kind of tasks to be effective and "pervasive", > we need some code infrastructure which is not there yet in numpy. In > particular, I would like to separate the purely computational part of > numpy from the "boilerplate", so that from an architectural POV, any > optimization would be done in the computational part only. There are > also build/deployment issues with SSE, but using an external library > (which hopefully takes care of it) would alleviate most problems in > that category.
Hi David, I recall you propsoed a plugin framework for numpy. Where are you on that matter ? Still waiting for numscons ? Matthieu -- French PhD student Website : http://matthieu-brucher.developpez.com/ Blogs : http://matt.eifelle.com and http://blog.developpez.com/?blog=92 LinkedIn : http://www.linkedin.com/in/matthieubrucher _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
