Although overflow isn't a problem for Python, it appears to be a problem for the numpy package:

https://numpy.org/doc/stable/reference/generated/numpy.prod.html

"Arithmetic is modular when using integer types, and no error is raised on overflow. That means that, on a 32-bit platform:
> x = np.array([536870910, 536870910, 536870910, 536870910])
> np.prod(x)
16 # may vary"

you got to think cleaner pal, all the solutions that i have seen in this forum are sooooo complicated compared to what i did. i'm not yet at the point where i can say if my solution is the best or if it's efficient, but sometimes i can do simple stuff for sure.

Thank You!
It worked when i multiplied it directly.
So, numpy uses C type variables something and Overflow occurred. [found on stack overflow]

Very Clever!

And did you try not using a library for multiplying two numbers?