Thank you for your interest in contributing to NumPy, Kode!
Here is a quick overview of all the ways one can contribute to the project:
https://numpy.org/contribute/
If you’d like to focus on the source code, have a look at the issues that
are up to 12 months old in the issue tracker (
https://github.com/numpy/numpy/issues) and see if there is anything you
could fix. The ones labeled “documentation” and “bug” would be the best
place to start. With bugs, reproducing a bug and documenting it in a
comment (below the issue) would be of tremendous help. For general Python
development in NumPy, modules like `numpy.ma` and `numpy.polynomial` are
pure Python and are fairly approachable.
On Fri, Nov 25, 2022 at 9:35 PM Kode D. Creer
Hi. I would like to help contribute with the code. I would like to know where to get started. There are a couple features in mind that I feel is missing and would be helpful.
-- Cheers, Inessa Inessa Pawson Contributor Experience Lead | NumPy https://numpy.org/ GitHub: inessapawson