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In order to improve the installation and contributions from other users it could be useful to provide the following tools:

1. Generate the .py modules from the .ipynb notebooks (avoids ModuleNotFoundError).
2. Clean the cell ouputs in order to be git-friendly (see for example this site).
3. Have a .gitignore file with *.py to reconcile point 2) and 3).
4. Modify the README file to explain how to use these tools.

Points 1) and 2) can be achieved thanks to a script.

The program could be much improved if it was rewritten from scratch.

We could write it directly for numerical computations. Then we would not have to use formal series, or to ensure that we get Kac tables with rational (as opposed to real) conformal dimensions. We would
not use SymPy at all, and avoid having to convert SymPy expressions into numbers.

We have several separate classes for computing four-point functions in various models, but one class might be enough. We have a wrapper class Data which does not much and could conceivably be fused with the class which would compute four-point functions.

Julia can apparently do splines, latex displays, integration of complex functions. Apparently it manages complex numbers better than Python. It would be nice if it really led to faster calculations.