(on a ambiguous day, pessimistic or optimistic?) Numpy is a monster written by a bunch of amateurs (engineers and scientists), with a glacial pace of development.
If we want to make any progress to the world dominance of python in science, we need to go professionally about it. First we need to streamline the development infrastructure and get the distribution under control. Then we need to streamline the code so the bunch of amateurs doesn't understand what's going on and cannot effectively threaten a fork anymore. Then, we need to get our version of nans, labeled arrays and other tools in so we have the right hooks to compete downstream. Of course, "This may also mean different business models and licensing around some of the NumPy-related code that the company writes." To a glorious professional future and long live python in science. ------- unsigned _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
