Wouldn't say it better myself. Everything you gain with fast coding you lose on tackling performance issues, GIL, dependency management... Things harder to solve once you're committed to production.
It depends very much on what you are doing. Python for big complicated applications is a No for me also but python for extraction jobs in a ETL pipeline or data science tasks is a huge YES.