"It boils down to Python being a dynamically typed, interpreted language,
where values are stored not in dense buffers but in scattered objects.
And then I talk about how to get around this by using NumPy, SciPy, and
related tools for vectorization of operations and calling into compiled
code, and go on from there."
Full article: http://jakevdp.github.io/blog/2014/05/09/why-python-is-slow/
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