Because numpy is so ubiquitous, particularly within the scientific space, writing your own functions which replicate some of their functionality is a great way to confuse maintainers or anyone looking through your code.
Something like stats or statistics would be a much clearer choice. I will mention there is a statistics module in the python3 standard library.
Because numpy is so ubiquitous, particularly within the scientific space, writing your own functions which replicate some of their functionality is a great way to confuse maintainers or anyone looking through your code.
Something like
stats
orstatistics
would be a much clearer choice. I will mention there is a statistics module in the python3 standard library.