Should be modernized to Python or similar.

In 2026, I don't want to do numerical programming in C. That was fine 30 years ago, but today, I expect to have garbage collection or to be able to multiply a matrix as A×B.

If that's what you want, use Matlab. High-performance scientific computing is still using C, C++ +/- CUDA, or Fortran, with Rust a growing segment.

Different strokes for different fokes.

In 2026 I don't want to use a slow interpreted non-typed language like Python.

C++ (for example) has excellent super fast matrix libraries where you can do AxB.