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 ...

Python dictionaries consists of one or more keys—an object like a string or an integer ... is sometimes called a hash map or associative array. In this article, we’ll walk through the basics ...

For example, when you put Serial in a program, you use an object someone else wrote. Python — and things like Micropython — have the same kind of division. Python started as a scripting ...