This is not correct. There is a lot of data analysis code in the research and scientific community written in python. A lot of PyCon attendees and speakers come from these communities. Oftentimes, it’s not easy to write code to perform a task entirely in numpy, and then you incur massive slowdowns (often 20-100x). This is a common and contemporary problem in the python ecosystem.
GVR initially didn’t think that python needed to be faster either, but recently changed his mind. You can find a presentation on his motivations here: https://github.com/faster-cpython/ideas/blob/main/FasterCPyt...
Sam Gross comes out of that community so he’s familiar with the motivations for making raw python faster.