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I doubt that. It's certainly the trend and a lot of new code is produced in Python. But most models will run on R/Matlab/C++/C#. I'd guess that most quant departments have less than 10% of their code in Python.

But Python is the modern way to go, so every shop stresses that they use it and they expect every new hire to master it.

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... master it instead of C++ or in addition to C++?

In addition, although that's often not possible. You need people who can write C++ to maintain code. But it's hard to find because few people with a finance background have any experience with C++. So companies often end up developing in python and then passing it to developers who port the code to c++ for speed and to fit it in the existing framework. If they could be replaced with Julia, it would potentially save a lot of money.

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