~Question regarding using kedro on managed notebooks. I'm working on AzureML workspace, which very similar to Databricks, have a managed Juptyer instance. Now I have a working kedro project. By working I mean I can access the data with~

%> kedro ipython
>>> catalog.load('companies')

The same kernel, is also registered in the managed Jupyter instance. In the first cell I run

%load_ext kedro.ipython
%reload_kedro path/to/my/project

~Executing this results in the attached stacktrace What am I doing wrong?~