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> We can always have a JS layer for configuration while the core runs in Rust, much like for many Python libraries, the interface is in Python while the computation happens in C++.

And this behind-the-scenes-native code-but-pretending-to-be-Python is the reason why most Python stuff I try fails to run on the first tries.

Half of them I give up because I don't get them running after going down the weirdest error rabbit holes.

No matter whether Debian, Ubuntu, Windows 7/10, Cygwin, WSL2, Raspberry Pi, x64, ARM ...



What are you running? I've done multiple large deployment for machine learning work and they all work fine, stuff like numpy, scipy, pandas, pytorch etc which are the primary technologies I've seen written in C++. I wouldn't expect normal libraries to be so however, since they're likely not speed critical; Django for example I'm pretty sure is just Python.




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