I hope you can help me with this problem: I am trying to implement a custom Python ML-Model to predict the performance of a chemical separation process. A standard software to use in these applications is Aspen Plus wich is already equipped with a linkage to an old excel .xls file to transfer input data to an excel file, where it gets calculated by the user and send back to the simulation program. I would Python to get into this pipeline and import the incoming input values, process them in a ML script and export the output in the corresponding output cells in the xls file. I already tried some things with the xlrd library and the