Which PL is best suited for FEM, FEM or FCM analysis?

Question

Python

As part of the laboratory work, I used Python 3, cut TensorFlow to solve heat conduction problems (MCR, MCO analysis). The labs are simple, bydlokodok, from which the system programmers' eyes would leak out, it was executed almost instantly.
As for large projects, everything was done clearly in ANSYS. So the question is: if I want to code grid generators for the sake of interest and do other obscenities to solve, for example, CFD problems, then what kind of PL should I learn so as not to sit for 2 days until Python adds 2 + 2? Improvve Python into Cython or hammer crosses into the brain, sharpe?
And yet, in Python, you can load .obj files and render them. Is there a way in Python or elsewhere to load geometry (created in proprietary packages) and process it? Not that I want to write my own SolidWorks or Inventor, but I think it would be a useful skill, for example, to build an equidistant surface of a loaded 3D body.

Answer 1

C++ strikes a balance between writing tricky architecture and speed.
Well, and easy access to MKL / OpenCL / CUDA / MPI / OpenMP - industry standards for organizing massive parallelism.