Status:
New
Feature Request: Python notebooks should support custom Environments, similar to PySpark notebooks.
Fabric currently supports custom Environments for PySpark notebooks, but Python notebooks (preview) cannot use them. In Python notebooks, the only available kernels are Python 3.10 and 3.11, and the ...
One follow-up for production use - if this pure Python notebook is scheduled in a Data Factory pipeline, is inline %pip install completely safe? I just want to make sure automated runs won't hit any of the stability issues mentioned here: https://learn.microsoft.com/en-us/fabric/data-engineering/library-management#python-inline-installation warning against inline pip (even though I know those articles mostly focus on Spark)
