Hello !

>    * As a language, Python is vastly superior to R.   Python has good
> support for object oriented programming, a very wide selection of
> existing programs and libraries, and supports threads for handling
> realtime data.    I recently read a paper about massive contortions
> somebody went through in trying to be build some system in R to model
> and respond to realtime data -- this was really hard in R, since R
> evidently doesn't have good support for threads.  But of course, R +
> Sage (via rpy2) would make it easy to combine the modeling power of R
> with the asynchronous capabilities of Python.

Just a few words on that one... I have had to stand statistics for one
year at the university, and I really ate R from morning till
evening... Even though I have forgotten almost all of it, there are
still two things for which R is vastly superior to python : matrices
and plots. This does not make it a better language than python, that's
perfectly True, but to anyone who would like to rewrite in Sage some
code written in R, this would mean a HUGE amount of work. The
manipulation of matrices in R is just amazing. If you want to strip
all the negative values contained in a matrix M, you but have to write
M * (M > 0). How easier can it et ? There is a thousand tricks like
that available in R that I noticed nowhere else. And the same goes for
plottings using R. I mean that on these two points, the R language is
much more expressive than any other I know.

But then again, this could also mean that I haven't spent the
necessary time to learn Sage's tricks on these points :-)

Nathann

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