Create a notebook in a new directory pyexasol.

This notebook should highlight PyExasol's flexibility in importing & exporting data and do the following:

Load the parquet files for the flight data set (already available for AI Lab) using import_from_parquet

Transform the data inside the DB

    For example,

        Select certain rows or columns of the data.

        Aggregate data if useful.

Export the transformed data to parquet

    Show different configuration options, for example, the overwrite for the directory.

Export the transformed data as a Polars dataframe

Use the Polars dataframe to train a model, for example with scikit-learn

Apply the model locally and import the result via Polars into the DB

Maybe, do another round of aggregation and plot the result