My point is basically: a lot of projects / modules start out as
little helper functions, prototypes or proofs-of-concept, but
grow bigger very fast. Especially in the scientific community
Python is popular because one can protoype very fast, test things
etc. However, as the code base grows it becomes more and more
obvious that Python is too slow and doesn't scale very well. I
always say that if you have good code, think production and
deployment, choose a systems programming language, it will pay in
the end. Because the headaches you will have later with
Python/Cython, will outweigh the initial advantages of "fast
development". (I think it's better to develop a tad slowlier and
consider various options for and aspects of a program than to
have a quick success, but a solid mess. A lot has to do with
impatience, not only deadlines).
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