@steffen_KNIME thank you for this spoiler. I understand that there will always be a balance between offering a broad variety of packages but also keep it stable, compatible and ‘clean’; because obviously stability is the main reason to have an integrated Python version in the first place. Anyone familiar with YAML and Conda can easily manage their own Python setup.
I use my curated Conda Environments called “Kaggle” for MacOS and Windows for KNIME but also for working with Jupyter notebooks. I am not yet sure if a one-environment-fits-all will be sustaiable for the future 
- especially deep learning environments require special settings it seems (https://kni.me/w/0P1TaKHmebS4g8zv). It might be an idea to provide a Python evnironment that is compatible with the Tensorflow and Keras integration from KNIME. There is support but for some people this still might be complicated and the guide is not always straightforward