Skip to content

Writing your own 'numpy' functions is a real easy way to get confused #19

@malramsay64

Description

@malramsay64

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.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions