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.
> 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.
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[ 0.23 ms ] story [ 22.3 ms ] threadI 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-...
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.