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While there are issues within Python side, I think it is quite unfair to use numpy as an example.

My reasoning is that the numpy project is meant for scientific and prototyping purposes, but many times people are using it as an shortcut and include the whole thing into their project.

That being said, the quality in these packages does vary depending on who developed them. But I think this is a problem that exists with all languages where publishing packages is relatively straightforward.




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