.. _community:

===================== Contributor community

pandas is a community-driven open source project developed by a large group of contributors <https://github.com/pandas-dev/pandas/graphs/contributors>_ and a smaller group of maintainers <https://pandas.pydata.org/about/team.html>. The pandas leadership has made a strong commitment to creating an open, inclusive, and positive community. Please read the pandas Code of Conduct <https://pandas.pydata.org/community/coc.html> for guidance on how to interact with others in a way that makes the community thrive.

We offer several meetings and communication channels to share knowledge and connect with others within the pandas community.

Community meeting

The pandas Community Meeting is a regular sync meeting for the project's maintainers which is open to the community. Everyone is welcome to attend and contribute to conversations.

The meetings take place on the second and fourth Wednesdays of each month at 18:00 UTC.

The minutes of past meetings are available in this Google Document <https://docs.google.com/document/d/1tGbTiYORHiSPgVMXawiweGJlBw5dOkVJLY-licoBmBU/edit?usp=sharing>__.

New contributor meeting

On the third Wednesday of the month, we hold meetings to welcome and support new contributors in our community.

| 👋 you all are invited | 💬 everyone can present (add yourself to the hackMD agenda) | 👀 anyone can sit in and listen

Attendees are new and experienced contributors, as well as a few maintainers. We aim to answer questions about getting started, or help with work in progress when possible, as well as get to know each other and share our learnings and experiences.

The agenda for the next meeting and minutes of past meetings are available in this HackMD <https://hackmd.io/@pandas-dev/HJgQt1Tei>__.

Calendar

This calendar shows all the community meetings. Our community meetings are ideal for anyone wanting to contribute to pandas, or just curious to know how current development is going.

.. raw:: html

You can subscribe to this calendar with the following links:

iCal <https://calendar.google.com/calendar/ical/pgbn14p6poja8a1cf2dv2jhrmg%40group.calendar.google.com/public/basic.ics>__
Google calendar <https://calendar.google.com/calendar/[email protected]>__

Additionally, we'll sometimes have one-off meetings on specific topics. These will be published on the same calendar.

`GitHub issue tracker <https://github.com/pandas-dev/pandas/issues>`_

The pandas contributor community conducts conversations mainly via this channel. Any community member can open issues to:

Report bugs, e.g. "I noticed the behavior of a certain function is incorrect"
Request features, e.g. "I would like this error message to be more readable"
Request documentation improvements, e.g. "I found this section unclear"
Ask questions, e.g. "I noticed the behavior of a certain function changed between versions. Is this expected?".
- Ideally, your questions should be related to how pandas works rather than how you use pandas. StackOverflow <https://stackoverflow.com/>_ is better suited for answering usage questions, and we ask that all usage questions are first asked on StackOverflow. Thank you for respecting our time and wishes. 🙇

Maintainers and frequent contributors might also open issues to discuss the ongoing development of the project. For example:

Report issues with the CI, GitHub Actions, or the performance of pandas
Open issues relating to the internals
Start roadmap discussion aligning on proposals for what to do in future releases or changes to the API.
Open issues relating to the project's website, logo, or governance

The developer mailing list

The pandas mailing list [email protected] <mailto://pandas-dev@python .org>_ is used for long form conversations and to engage people in the wider community who might not be active on the issue tracker but we would like to include in discussions.

Join the mailing list and view the archives here <https://mail.python.org/mailman/listinfo/pandas-dev>_.

.. _community.slack:

Community slack

We have a chat platform for contributors, maintainers and potential contributors. This is not a space for user questions, rather for questions about contributing to pandas. The slack is a private space, specifically meant for people who are hesitant to bring up their questions or ideas on a large public mailing list or GitHub.

If this sounds like the right place for you, you are welcome to join using this link <https://join.slack.com/t/pandas-dev-community/shared_invite/zt-3813u5fme-hmp5izpbeFl9G8~smrkE~A>! Please remember to follow our Code of Conduct <https://pandas.pydata.org/community/coc.html>, and be aware that our admins are monitoring for irrelevant messages and will remove folks who use our slack for spam, advertisements and messages not related to the pandas contributing community. And please remember that slack is not meant to replace the mailing list or issue tracker - all important announcements and conversations should still happen there.

Contributor community