Another feature request was to provide support for parameters in a notebook. Parameterization is the ability to execute the same notebook with different parameters.
With this release of Azure Data Studio, users will now be able to utilize Papermill’s ability to parameterize, execute, and store notebooks. By stating the parameters cell as the first code cell in your notebook, it ensures that the injected parameters in the outputted parameterized notebook will be placed directly after the original parameters cell. That way the parameterized notebook will utilize the newly injected parameters instead of the original parameters cell.
Users can utilize Papermill CLI as well as the Python API to pass in a new set of parameters quickly and efficiently as shown below.
That does look interesting.