> what is this strange obsession with type , it improves performance yeah sure Static typing allows for a lot of static decisions which in general brings bette

> what is this strange obsession with type , it improves performance yeah sure Static typing allows for a lot of static decisions which in general brings better performance for a language. CPython pushes so many decisions to runtime that it is a very significant performance impact. But the article cites more significant challenges related to type. Not performance, but design: > "First, Python uses loose typing, which was great for a small team rapidly developing new ideas and putting them into production –but less great for an enterprise-scale application that some customers were paying millions of dollars for," he writes. Cue the reminder that in fact Python is strongly (but dynamically) typed. But LeStum's point stands: dynamic type hurts developers trying to read/write unfamiliar python code. The mypy static typing should help out a lot but I don't think it's very popular yet. For performance, IMO in this order you should consider (1) PyPy, (2) multiprocessing, (3) cython and/or c-extensions. (and I suppose implicitly (0) analyze your algorithm, exploit numpy where possible). If you exhaust those, Go seems like a great alternative.