I use python mostly for numpy/tensorflow/etc. The machine learning ecosystem. That ecosystem cares a lot about multithreaded performance. So historically answer

I use python mostly for numpy/tensorflow/etc. The machine learning ecosystem. That ecosystem cares a lot about multithreaded performance. So historically answer has been write c/c++ and then bind to python. This work is mainly motivated by libraries like that wanting to write less c extensions and be able to just write python and still have proper thread performance.