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Multiple dispach and meta programming are available in python as well. Although duck typing is usually a better solution and it's not really a killer feature to data analysts anyway.

Compared to python, i'd say julia has the reputation for being generally faster for things you can't use numpy with, and you can more easily scale multiple cpu or machines.

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By metaprogramming in Python, do you mean using decorators ? If so that's a far cry from metaprogramming

Import hooks with access to the ast, full object introspection and metaclass are not too shaby.

They are not that used though, too much magic and implicit processing are not promoted in the community.

Not to shabby indeed ! Now have to check whats up with Hy.

Multiple dispatch has to be coded by hand in Python, it isn’t a feature of the language.

Sorry you are right. We only have single dispatch built in. I never had the use case for more so I confused them.

Python 3.7 added the ability to use type annotations with the @functools.singledispatch decorator which lets you write functions in a multi-dispatch manner.

As the name suggests, that lets you write functions in a single-dispatch manner. That is different from multiple-dispatch.

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