Hi @davekalpak , it’s really a timeout issue, nothing to do with how you are running your workflow. It’s more between Knime and your Python environment. It can happen if your computer is “busy” at that moment and it takes longer to initialize your Python environment.
You can increase the timeout as suggested in the message, or keep trying again where it will be able to initialize the Python environment if it’s less “busy”.
There’s no proper timeout. It’s really up to you really, when you want it to timeout. You can set it at 2 minutes for example.