Hi Michael On 2014-10-27 15:26:58, D. Michael McFarland <dm...@dmmcf.net> wrote: > What I would like to ask about is the situation this illustrates, where > both NumPy and SciPy provide similar functionality (sometimes identical, > to judge by the documentation). Is there some guidance on which is to > be preferred? I could argue that using only NumPy when possible avoids > unnecessary dependence on SciPy in some code, or that using SciPy > consistently makes for a single interface and so is less error prone. > Is there a rule of thumb for cases where SciPy names shadow NumPy names?
I'm not sure if you've received an answer to your question so far. My advice: use the SciPy functions. SciPy is often built on more extensive Fortran libraries not available during NumPy compilation, and I am not aware of any cases where a function in NumPy is faster or more extensive than the equivalent in SciPy. If you want code that falls back gracefully when SciPy is not available, you may use the ``numpy.dual`` library. Regards Stéfan _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
