I think that data analysis should be done in some of the other popular
python packages (numpy, pandas, statsmodels). I think that SymPy should see
how it can serve and connect with these other packages.

You mention distributions so I'll speak about sympy.stats for a moment. A
while ago I talked with the statsmodels folks. They could use sympy in a
couple of ways. They built their own rudimentary symbolic stats system that
we could replace with sympy.stats. They also badly need symbolic
derivatives which we could supply with sympy.core. Skipper, one of the
developers of statsmodels started working on this connection a while
ago<https://groups.google.com/forum/?fromgroups=#!searchin/sympy/skipper/sympy/DViO43-qtM4/6jMMew5twF8J>but
stopped. I probably could have made this work if I put more work in on
the SymPy side.

I don't think we should build analysis tools. I do think that we should do
more outreach.

On Fri, Oct 5, 2012 at 12:27 PM, Sachin Joglekar <[email protected]>wrote:

> It was recently pointed out to me that though Sympy has much of the
> theoretical classes used in data analysis, there are no straightforward
> analysis tools in any module of Sympy. Something like those present in the
> statistical analysis language R. Sympy already has classes for all
> important distributions. It would just be a question of providing an
> 'interface' to make analysis easier, for eg, dealing with .csv files, etc.
> Would it be a useful addition to the code base?
>
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