If a base set of libraries is installed on the cluster and pinned to a specific version, can/would this conflict with a notebook submitted to the cluster that defines a conflicting set of libraries for install?
Is there a way to override the cluster python env via modifying the PYTHONPATH or some other Databricks variable in these cases or some order of precedence?