The article doesn't mention a hidden gem in Python's standard library - typed arrays!
Those are in package `array` and they are a very barebones version of numpy's ndarray - with just one (explicit) dimension and no overloaded operators. But if you just want to keep a bunch of numbers in a contiguous array, they can save you tons of memory.
(I know the purpose of the article is to describe a more complex data structure, but arrays can still get you very far.)
Those are in package `array` and they are a very barebones version of numpy's ndarray - with just one (explicit) dimension and no overloaded operators. But if you just want to keep a bunch of numbers in a contiguous array, they can save you tons of memory.
(I know the purpose of the article is to describe a more complex data structure, but arrays can still get you very far.)