Le 25/11/2010 11:51, Ernest Adrogué a écrit : > I'm not an expert either, but the basic idea you have to get is > that "for" loops in Python are slow. Numpy is not going to change > this. Instead, Numpy allows you to work with "vectors" and "arrays" > so that you need not putting loops in your code. So, you have to > change the way you think about things, it takes a little to get > used to it at first.
Yes I know but IDL share this characteristics with numpy, and sometimes you cannot avoid loop. Anyway it was just a test to compare the speed of the cosine function in IDL and numpy. _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
