>Contrast a Python list with a NumPy array. To achieve speedier loops and vectorized arithmetic [0], the array gives up dynamic typing and dynamic sizing. In most applications, I would gladly give up some compute speed to gain some programming productivity.
Except numpy arrays have a much richer interface and can still store dynamic objects (dtype=object). So what's your point?
>I love duck-typing
So do I. Where does this come from? I don't believe I ever considered it a contra.
Except numpy arrays have a much richer interface and can still store dynamic objects (dtype=object). So what's your point?
>I love duck-typing
So do I. Where does this come from? I don't believe I ever considered it a contra.