A big part of NumPy’s speed comes from using machine-native datatypes, instead of Python’s object types. But the other big reason NumPy is fast is because it provides ways to work with arrays ...

Python objects are “reference counted ... a pointer to the object), or placed in a container object (added to an array), the object’s count is incremented. Conversely, whenever a reference ...