> The main thing is that we want to provide something immediately > useful. That is a numpy which maybe does not integrate (yet) with the > entire ecosystem, but is much faster on both array computations and > pure python iterations, ufuncs etc.
from a motivational perspective this is also quite important: having numpypy running at great speads will draw the braincapital to get that wrapperstuff programmed. Harald -- GHUM GmbH Harald Armin Massa Spielberger Straße 49 70435 Stuttgart 0173/9409607 Amtsgericht Stuttgart, HRB 734971 - persuadere. et programmare _______________________________________________ pypy-dev mailing list pypy-dev@python.org http://mail.python.org/mailman/listinfo/pypy-dev
