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Thanks, that helps me understand.

The problem for scientific users seems to be to achieve enough consensus about which language to use as an "obvious choice" that a bunch of other scientific users make packages.

Since we are talking about "fast" languages like Nim and Julia, I wonder why R and Python have done so well with the scientific audience but C++, Java, C# and the like never developed anything quite comparable. Or did they and I just didn't notice?

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