Python dynamic type system is the reason it's easy to prototype ideas. Dont need to compile or remember if unsigned int or float required. It's the people's language.
The next easiest would be JavaScript.
Python does support type hinting and vscode parses it.
I see there is even a Jit compiler numba out there for performance
so how would you go about doing this using ml?
is it a classification problem? Count the number of instances. Or do we do deep learning and say here is a picture the result is 10?
I thought this was going to be written by someone who uses it a large scale.
from a customer service point of view, is Microsoft the best ?
Is Google the most secure?
Is Amazon the simplest to enter?