One other potential downside of using python lists to accumulate numbers is that you are storing python objects (python ints or floats, or...) rather than raw numbers, which has got to incur some memory overhead.
How does array.array perform in this context? It has an append() method, and one would hope it uses a similar memory allocation scheme. Also, does numpy convert array.array objects to numpy arrays more efficiently? It could, of course, but someone would have to have written the special case code. -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception [EMAIL PROTECTED] _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
