Steve Lianoglou wrote: >> 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
As Matlab is linking to Lapack, Atlas and similar libraries for (at least a part of) linear algebra computations, if you link to these freely available libraries from whatever other language, you should get about the same results. Zdenek _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion