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Could you please elaborate on that?

My company has tons of python code producing reports with reportlab, making UIs with PyQt5, as well as a multitude of small scripts to interact with MySQL.

We’ve been nothing but happy with Python in the years of using it.

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Mainly because production pipelines care a great deal about performance (speed) and Python is generally considered to have worse performance in comparison to compiled languages (Java or C++.) Depending on your pipeline that may not be a big deal.

"I 've done it so it's not so bad" is not a very good argument. I've done a significant data science project in Prolog (with R for the plotting btw) but that doesn't mean Prolog is the go-to language for data science :)

But it is a datapoint against the hypothesis "Prolog is inappropriate for data science".

Oh, true that :) Sorry, I might have misread your comment!

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