On Tuesday, March 4, 2014 6:18:18 AM UTC+1, Chase Relock wrote: > > I was looking at SymPy's matrix code and was curious if that supports > symbolic computation right now or is it only numeric? >
Of course you can put symbols inside sympy matrices (if that is what you mean), for numeric-only ones, have a look at numpy (technically numpy could be forced to use symbols, but it's not straightforward). > As for some of the individual pieces, I think the following are important > concepts needed in financial statistics that I am unsure SymPy currently > has functionality for: > kernel density estimators for PDFs > Empirical distribution functions > Statistical moments > Stochastic Processes > Stochastic/Ito Calculus > Time series > Matrix decomposition (spectral, singular value) > > What about introducing stochastic processes, Martingales and Ito integration (all in symbolic representation, of course)? I think that could already be a good project. By the way, I have been using the sympy.stats module, and I get a lot of *NotImplementedError*, and other kinds of errors. Finishing that parts would be great, too. -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at http://groups.google.com/group/sympy. To view this discussion on the web visit https://groups.google.com/d/msgid/sympy/831b3d2b-3b5d-4bea-9475-5546f601bbde%40googlegroups.com. For more options, visit https://groups.google.com/groups/opt_out.
