The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...

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It is possible to use generic Python objects as the dtype for a NumPy array, but if you do this, you’ll get no better performance with NumPy than you would with Python generally.

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.