Hello, It's good idea. I have time to help you.
Kind regards Kevin On Wednesday, December 16, 2015 at 3:05:20 AM UTC+9, Francesco Bonazzi wrote: > > I started recently some work on a symbolic expression for variance and > covariance in *sympy.stats* module: > > https://github.com/sympy/sympy/pull/10247 > > The current *stats* module defines functions such as *P (probability), E > (expectation), variance, covariance, moment, *and so on, to perform the > integral given random variables or conditions on random variables. > > I think it's convenient to also have the possibility to operate at a > higher level of abstraction, by keeping unevaluated symbolic expressions > and operating with their properties on them. > > The idea is to define a class with the same name of the function, with > capital first letter: > > - Expectation( ) vs expectation( ) > - Probability( ) vs probability( ) > - Variance( ) vs variance( ) > - ... and so on ... > > The latter ones are the existing functions, whereas the first ones are > classes that create the unevaluated expression. > > > The method *.doit()* calls the corresponding function to perform the > integral. > > > A similar relationship already exists in SymPy: > > - Integral( ) vs integrate( ) > - Derivative( ) vs diff( ) > - Sum( ) vs sum( ) > > *.doit()* calls the function. > > > I'd like to have some feedback before going on. Do you think this is a > good idea? Would you merge this once it's finished? > -- 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 sympy+unsubscr...@googlegroups.com. To post to this group, send email to sympy@googlegroups.com. Visit this group at https://groups.google.com/group/sympy. To view this discussion on the web visit https://groups.google.com/d/msgid/sympy/120c0284-4070-4a10-a3ab-3b794ed58e19%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
