Hello,

I'm Santiago Hincapie-Potes a 7th semester (3 year) mathematical engineering
stundent at EAFIT university, Colombia. I have a strong interest in 
probability
theory. Right now i'm working on research about functional data analysis (In
particular in functional principal component analysis). Hence, I'm quite
familiar with probability and measure theory. Looking the ideas page i was
especially interested in the random processes item, well, although it is 
not my
current area of research I have seen several courses related to stochastic
processes in which a great interest in the subject was born.
I have some experince with Markov process, Random walks, poisson process,
renewal process, Wiener process, Queueing process, etc. Both from a 
theoretical
point of view and a simulating and modeling point of view.

I was python programming since 4 years, algorithm enthusiast since 3 years 
(in
which i participated in several programming competitions) and also i have 
like
4 months of experience with SymPy, but actually i don't know (yet) how the 
SymPy
core works.

With this post I would like to ask about the actual implementation of random
process in SymPy, if there are any random process that can be transformed 
into
other process and what exactly has to be done.

When I googled this questions, i found this 
<https://github.com/MPIBGC-TEE/LAPM> package in with the author uses a 
module for discrete-time Markov chains, using SymPy matrix, actually I'm not
sure if the random process proposal is looking for this kind of 
impliementation
or is looking for something totally different.

Best,
--
Santiago

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