"Martijn Faassen" <[EMAIL PROTECTED]> wrote in message news:[EMAIL PROTECTED] |Numpy appears to be the official merger between Numeric and Numarray.
*is*, insofar as anything is 'official'. |It sounds a bit odd to use Numeric for the implementation of R that way, |but it'd make sense to be able to do so, right? 'R' is both a (statistics/data analisis) language and an interpreter system. (I have not used it but read some some time ago.) The latter, I presume, is implemented in some combination of C and Fortran, as are NumPy and SciPy. I would not be surprised if the R system used some of the same libraries (BLAS, LinPack, FFTPack, etc). So, if the array concepts are compatible, it make perfect sense to me to base an alternate implemention of R the language on NumPy and the R functions that are already in SciPy. The motivation would either be a) proof of concept of PyPy as a general platform for implementing dynamic languages or b) an implementation with value-added for users (free (if R is not yet), open-source (ditto), access to other Python facilities). | Naturally PyPy wouldn't be able to use its magical optimization abilities on those bits Many to most of 'those bits' have been heavily optimized already, which is why to use them. Terry Jan Reedy _______________________________________________ [email protected] http://codespeak.net/mailman/listinfo/pypy-dev
