Nope no metrics, I doubt very much they exist. But if I can pile on a second personal observation, a significant proportion of people programming python aren't python programmers. They'er engineers, artists, scientists, analysts and statisticians whom are using python to do their job. So even if you somehow did manage to survey a statistically significant number of python programmers, you'd still be missing a large swath of the python community.
As to the application, it was a largely in house tool for an engineering and company I used to work for.
> even if you somehow did manage to survey a statistically significant number of python programmers, you'd still be missing a large swath of the python community.
Depends on how the survey is done. If those engineers, artists, scientists, etc. are using Python, they're using Python, and there are ways to survey that. For one thing, you could look for users of the major Python frameworks listed in the Wikipedia article I linked to elsewhere in this subthread, like NumPy or SciPy.
If you want to claim that, for example, a scientist using SciPy isn't a real "python programmer" because he is only writing "glue code", I've already answered that in another subthread. Application logic is not "glue code". The scientist's application logic is in Python, so he's programming in Python, even if his job title doesn't say "Python programmer".
As to the application, it was a largely in house tool for an engineering and company I used to work for.