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They are written in C++.

Not sure how that's relevant. Everything is written in something else.

Python itself is written in C. The Julia github repo shows Julia 68.2%, C 16.3%, C++ 10.4%, Scheme 3.2%. R is a mix of C, C++, R and some Fortran I think...

It is relevant from the point of view of what a developer is able to achieve without being forced to drop down to a 2nd programming language, aka "2 language syndrome".

And how many Python libraries are just plain wrappers, not really written in Python.

I use TensorFlow from .NET ML and C++ API.

are you suggesting that data scientists use C++ for day to day work? those libraries have first-class wrappers in Python (there is R support, but not at the same level).

Having worked at CERN, many do in fact use C++ for day to day work, hence why CINT and ROOT exist.

However my point was that with Julia, those libraries would have been written in Julia.

All the Python libraries that one throws around for these use cases are C, C++ and Fortran libraries, that happen to have Python wrappers.

Any programming language can have wrappers for them, there is nothing written in Python per se.

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