State of Python in 2018

medium.com

I'm the author and I'm happy to answer any questions about this post.

Can you elaborate on your claim that python 4 will probably ship with a JIT?

I don’t know if it will, but I agree with the author of [1] that it should. Python should aim to be faster in its next iteration, as it is increasingly being used for long running computational tasks like science experiments. I would go further and argue for direct integration of numpy into the language to achieve faster performance.

I don’t have any inside track knowledge on plans for Py4.

EDIT: see PEP 523

[1]: https://hackernoon.com/4-things-i-want-to-see-in-python-4-0-...

Gotcha, thanks.

> I would go further and argue for direct integration of numpy into the language to achieve faster performance.

What do you mean by "direct integration" exactly and why do you think it would improve performance? I initially thought you meant for it to be part of the standard library, but I don't see why that would bring any performance benefits.

Have you checked out detox and pyproject.toml? I think together they would solve some of your criticisms of tox and setup.py

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