review comments for "Uncertainty Modeling with SymPy Stats"

[liwwchina]

This paper describes a python package that can create symbolic models residing between the low-level machine/programming language and high-level abstract solution to a problem. The symbolic model, if I understand correctly, seems to have the same role as the Java bytecode, aiming at abstracting a problem solution from a machine/code specific context into a mathematical model such that it is understandable in different computational environments. I am not sure if I am the best person to review this paper since the idea is very abstract. If the goal of this symbolic model is to make the domain expert and programmer to communicate and understand each other, I don't think current work fullfills it since the model is really hard for a non-mathematician to understand. I would still suggest it to get accepted though, since the paper describes some real work and it deserves to be delivered to a broader audience.

Some of my specific comments:

1. figures can not be displayed correctly in the rst file
2. typo in conclusion section "undertainty" --> "uncertainty"

[stefanv]

The figures may not display correctly in the RST, but I guarantee they will
be fine in the final PDF!