Recent blog on this kind of issue:
http://www.r-bloggers.com/the-homogenization-of-scientific-computing-or-why-python-is-steadily-eating-other-languages-lunch/



On 22 November 2013 14:16, Javier López Peña <vengor...@gmail.com> wrote:

> On Thursday, November 21, 2013 1:50:07 PM UTC, Volker Braun wrote:
>>
>> ... but there is very little that we currently can do to replace R
>> functionality. Having said that, there is a serious lack of statistics in
>> Sage.
>>
>
> In my personal experience the pandas package [1] is capable of doing most
> of the statistics and data analysis I have to deal with, particularly when
> boosted with statsmodels [2]. It would also be much easier to integrate
> them with the rest of the sage components, as pandas and statsmodels are
> built on top of numpy/scipy.
>
> Performance-wise pandas blows R out of the water (even without any
> pexpect/rpy/py2 interfacing), particularly when it comes to IO and large
> datasets. The only feature from R I miss in pandas is ggplot, but that is
> coming to python as well [3] and might very well be superseded by bokeh [4]
> in a near future.
>
> I have no strong feelings either for or against dumping R, but if we want
> to boost statistics in sage in a pythonic way, I believe pandas/statsmodels
> is the way to go.
>
> Cheers,
> J
>
>
> [1] http://pandas.pydata.org/
> [2] http://statsmodels.sourceforge.net/
> [3] http://blog.yhathq.com/posts/ggplot-for-python.html
> [4] http://bokeh.pydata.org/
>
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-- 
  .~.
  /V\     Jan Groenewald
 /( )\    www.aims.ac.za
 ^^-^^

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