> Beside proper programing paradigm Python easily scales to large- > scale number crunching: You can run large-matrices calculations > with about 1/2 to 1/4 of memory consumption comparing to Matlab.
Is that really true? (The large-matrix number crunching, not the proper programming paradigm ;-) By no scientific means of evaluation, I was under the impression that the opposite was true to a smaller degree. Also, a lot of the times that I'm dealing with extremely large matrices, they're of the sparse variety, which matlab currently handles with a bit more ease (and transparency) to the user. -steve _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
