Charles R Harris wrote: > So what you buy > with an array implementation is the space/time efficiency of not having > to allocate python types to put on the list. But you probably need to go > through a python type at some point anyway,
When writing Python, yes (though maybe not if you are appending a lot of data at once from a numpy array). That's whey my python implementation is slower, and I suspect a C implementation would be similar in performance to a list. But if you are writing a C extension in C or Cython, then you could get a real gain by not having to go through Python types. -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 chris.bar...@noaa.gov _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
