> >-----Original Message----- > >From: Laura Creighton [mailto:[EMAIL PROTECTED]
> >We don't -- at least right now -- want to replace these > >cases where you use numeric because you really need a lot of > >linear algebra. Actually, the way I see it, there will be a significant benefit even when using a library like Numeric for linear algebra When profiling I was surprised at the time being spent on the calculation of determinants for my small matrices. Looking at the Numeric code I understood the issue better. It needs to do a decent amount of processing just to form the right question for lapack, i.e. it needs to analyze and understand the array it is processing before it can call the lapack routine. Which is why I begin to think that within the framework of an application where I know beforehand, e.g. the size and shape of the array for which I need a determinant, I would be losing less than I would have guessed by just up and calculating it in Python. Either way PyPY will be a win for this kind of processing. Art _______________________________________________ Edu-sig mailing list Edu-sig@python.org http://mail.python.org/mailman/listinfo/edu-sig