Python stores the data in its appropriate data representation and memory space. However, packages such as NumPy are implemented in systems programming languages such as C, Rust or Fortran. These ...

The demo program is a bit too long to present in its entirety in this article, but the complete source code is available in the accompanying file download. I wrote the demo using the 3.6.5 version of ...

As an aside, Python modules and packages that use C libraries (such as NumPy or Cython) are able to avoid the GIL entirely. That’s another reason they’re recommended for a speed boost.