# Set the python version to use when creating the virtual environment and launching the experiment # Example values: "/usr/bin/python3" or "/usr/local/bin/python3.6" # The default is the python executing the clearml_agent python_binary: "" # ignore any requested python version (Default: False, if a Task was using a # specific python version and the system supports multiple python the agent will use the requested python version) # ignore_requested_python_version: trueHo this explains it well actually. My surprise is that using python:3.8 docker image, it finds a python3.9 executable, I was not expecting it