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.

The most-wanted features by Python developers are static typing and strict type hinting, closely followed by performance improvements, Python Software Foundation survey results reveal.