I am using Python daily, and pretty much all performance problems (with my work) can be solved at the database or caching level. I get the impression that Numpy can produce reasonable performance for numeric problems.
In my experience developer productivity is of far more importance to business than language performance (obviously that depends on your domain). I do get asked to speed things up. But I get asked for "something working" by yesterday far more often.