Gradual Julia-ization of Python libraries

General Usage
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Some other syntax ideas for making Julia easier to integrate gradually to a Python library:

Say we have a file in our library file1.py:

import numpy as np
from juliapkg import jldispatch

@jldispatch("file2.jl", function="foo2")
def foo(x):
    return np.sum(x ** 2)

where file2.jl would be in the same directory as file1.py, and have:

function foo2(x)
    return sum(xi -> x^2, x)
end

Here, basically jldispatch(file, func_sym) could attach the Julia function foo2 to the Python function foo, via:

def jldispatch(file, function):
    def apply(f):
        if juliapkg.juliacall_installed():
            jl.seval(file)
            return jl.seval(function)
        else:
            return f
    return apply

So this could let you easily attach Julia code to Python functions.

Perhaps this jldispatch could also have an extension argument which could associate the juliapkg.isinstalled() to a particular Python extension. That way, only pip install mypkg[julia] would set up the Julia acceleration.

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