On Thu, Feb 20, 2020 at 12:43 PM Steve Jorgensen <ste...@stevej.name> wrote:
> > > But frankly, it would be a rare case where this would be noticeable. > > -CHB > > Maybe uncommon, but I don't know about rare. Let's say you want to perform > list-wise computations, making new lists with results of operations on > existing lists (similar to numpy, but maybe trying to do something numpy is > unsuitable for)? You would want to pre-allocate the new array to the size > of the operand arrays. Not rate that you’d have a use case, but rate that the performance would be in issue. In past experiments, I’ve found the array re-allocation scheme is remarkably performant. On the other hand, all the methods suggested in this thread require at least a double allocation— which may not be noticeable in many applications, but it’s also a fairly light lift to make a single constructer for a pre-allocated array. And as Stephan pointed out — it would help in some high performance situations. One thing to keep In mind is that array.array is useful for use from C/Cython, when you don’t want the overhead of numpy. -CHB > _______________________________________________ > Python-ideas mailing list -- python-ideas@python.org > To unsubscribe send an email to python-ideas-le...@python.org > https://mail.python.org/mailman3/lists/python-ideas.python.org/ > Message archived at > https://mail.python.org/archives/list/python-ideas@python.org/message/2A2LOYFPBGGMOJGRLPTSLU6MSBWJPKV4/ > Code of Conduct: http://python.org/psf/codeofconduct/ > -- Christopher Barker, PhD Python Language Consulting - Teaching - Scientific Software Development - Desktop GUI and Web Development - wxPython, numpy, scipy, Cython
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