Hello, I am giving some introduction tutorials to numpy and we notices a big difference in speed between nuumpy and math for trigonometric operations:
In [3]: %timeit numpy.sin(1) 100000 loops, best of 3: 2.27 us per loop In [4]: %timeit math.sin(1) 10000000 loops, best of 3: 92.3 ns per loop While not surprising, I did not expect numpy to be so much slower (25x)... Is this normal ? Cheers, -- Jérôme Kieffer Data analysis unit - ESRF _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
