Hi Chris, On Thu, Nov 3, 2011 at 9:45 AM, Chris.Barker <chris.bar...@noaa.gov> wrote: > On 11/2/11 7:16 PM, Nathaniel Smith wrote: >> By R compatibility, I specifically had in mind in-memory >> compatibility. > > The R crowd has had a big voice in this discussion, and I understand > that there are some nice lessons to be learned from it with regard to > the NA issues. > > However, I think making R compatibility a priority is a mistake -- numpy > is numpy, it is NOT, nor should it be, an emulation of anything else. NA > functionality is useful to virtually everyone -- not just folks doing > R-like stuff, and even less so folks directly working with R.
I think we agree, actually. What I currently have written on the wiki page is "In-memory compatibility with R would be handy", which is intended to convey that all else being equal this is a desirable feature, but that it's not worth crippling numpy (as you put it) to get. Do you have a suggestion about how I could make this clearer? or am I misunderstanding your point? -- Nathaniel _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
