GitHub user pykenny edited a comment on the discussion: Separate Python virtual environments for each DAG(not Task)
Otherwise, [as earlier response](https://github.com/apache/airflow/discussions/40651#discussioncomment-9988010) suggested, one may need to tackle with remote executors (Kubernetes or Celery) to deploy remote workers using different Python environments (of course, both requires Airflow to be available worker's runtime). GitHub link: https://github.com/apache/airflow/discussions/40651#discussioncomment-13074555 ---- This is an automatically sent email for commits@airflow.apache.org. To unsubscribe, please send an email to: commits-unsubscr...@airflow.apache.org
