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Copy file name to clipboardExpand all lines: content/en/community.md
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@@ -22,7 +22,7 @@ Announcements about NumPy, such as for releases, developer meetings, sprints or
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conference talks are also made on this list.
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On this list please use bottom posting, reply to the list (rather than to
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another sender), and don't reply to digests. A searchable archive of this lists
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another sender), and don't reply to digests. A searchable archive of this list
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is available [here](http://numpy-discussion.10968.n7.nabble.com/).
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***
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A real-time chat room to ask questions about _contributing_ to NumPy.
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This is a private space, specifically meant for people who are hesitant to
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bring up their questions or ideas on a large public mailing list or on GitHub.
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bring up their questions or ideas on a large public mailing list or GitHub.
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Please see
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[here](https://numpy.org/devdocs/dev/index.html#contributing-to-numpy) for more
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details and how to get an invite.
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If you would like to find a local meetup or study group to learn more about NumPy and the wider ecosystem of Python packages for data science and scientific computing, we recommend exploring the [PyData meetups](https://www.meetup.com/pro/pydata/) (150+ meetups, 100,000+ members).
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NumPy also organizes in-person sprints for its team and interested contributors occasionally. These are typically planned several months in advance, and will be announced on the [mailing list](https://mail.python.org/mailman/listinfo/numpy-discussion) and on[Twitter](https://twitter.com/numpy_team).
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NumPy also organizes in-person sprints for its team and interested contributors occasionally. These are typically planned several months in advance and will be announced on the [mailing list](https://mail.python.org/mailman/listinfo/numpy-discussion) and [Twitter](https://twitter.com/numpy_team).
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## Conferences
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-[SciPy Japan](https://conference.scipy.org)
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-[PyData conferences](https://pydata.org/event-schedule/) (15-20 events a year spread over many countries)
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Many of these conferences include tutorial days that cover NumPy and/or sprints where you can learn to contribute to NumPy or related open source projects.
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Many of these conferences include tutorial days that cover NumPy and/or sprints where you can learn how to contribute to NumPy or related open source projects.
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