The NumPy community¶
The community of NumPy users and developers is large and decentraliazed. We try to direct certain conversations to certain channels.
Use the #numpy tag on StackOverflow for usage questions (like “How do I do X in NumPy?”).
Use the GitHub issue tracker for
Bug reports (like “
(5,), when it should return
Documentation issues (like “I found this section unclear”)
Feature requests (like “I would like to have a new interpolation method in
Use the NumPy mailing list for longer-form discussion items. This is for things that concern the broader NumPy community. Most users probably don’t care about an obscure edge-case in
np.polynomial.Legendre(which should be reported on the issue tracker), but may care about larger-picture things like
How should we have discussions about NumPy and the community?
Developing or adding items to a NumPy roadmap
Announcing sprints or conference talks
Changes to the development workflow
Announcements for NumPy releases and developer meetings
To learn more about how to contribute to the ongoing development of NumPy, please check out our contributing guidelines. For deeper development discussions related to the direction of the project, you can join the mailing list.