I told them to forget Haskell and build a Python/Django app that will handle 90% of their customers. That's not anti-intellectualism. It's practicality. The "r

I told them to forget Haskell and build a Python/Django app that will handle 90% of their customers. That's not anti-intellectualism. It's practicality. The "right tool for the job" isn't always the same language. Often it's Python, because the libraries are mature. Machine learning is one area where this is often true. Python itself doesn't seem like it should be a leading ML language, but it's far ahead of the competition in terms of library support (e.g. Numpy, Scipy, Pandas, et al).