I have a simple example using FMU and compare simulation with data and adjust three parameters for the best fit. All is in a Jupyter notebook that you can run from the web-browser without installation using Google Colab. The notebook can either be run using PyFMI or FMPy.

https://github.com/janpeter19/BPL_TEST2_Batch_calibration

The only thing you need is to have Google account and starting the script means you "borrow" from Google a virtual Linux machine that install all packages needed and then run the script that perform the example. So just, see the example evolve on your screen. Installation (on the virtual machine) takes a few minutes. Afterwards you can continue to interact with the FMU. Note that interaction in the notebook is with a set of commands that provide a simplified "high-level" approach. If you like to see the details of Python code just look at the setup files in the repository.