Say if I have 2 SDS workflows, and in each workflows I will need to use different version of the same R/Python library. What's the best way to do this?
One can modify the library path when installing and loading packages in R to allow for multiple versions of the same package to be used by different R scripts as needed.
Take a look at the following article which shoes how one could use the lib.loc parameter to install.package() and library().
As for Python, one can simply use pip install somelib==188.8.131.52 at the top of their notebook code to pull down that specific version.
Thanks. Does it work the same for OOTB operators in SDS?
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