[Damilola Oladele] shows the ins and outs of object-oriented Python in a recent post. Like other languages, Python allows you to organize functions and data into classes and then create instances ...

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 ...