Python Forum

Hello everyone
First of all, I would like to apologize for my poor English.
my problem is this:

I have a (synthetic) point cloud of a building that I created myself with python (.xyz) and an IFC model that has minimal deviations from the point cloud.

The goal is to adapt the IFC model to the point cloud.

does anyone have any idea what would be the best way to do this with python?

No experience with IFC. In general, one would use the model to predict the location of a point, measure the distance between predicted and actual, and adjust the model to reduce that distance (on all the points and lots of times).