-details and how to get an invite.</p><h2 id=study-groups-and-meetups>Study Groups and Meetups<a class=headerlink href=#study-groups-and-meetups title="Link to this heading">#</a></h2><p>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 <a href=https://www.meetup.com/pro/pydata/>PyData meetups</a> (150+ meetups, 100,000+ members).</p><p>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 <a href=https://mail.python.org/mailman/listinfo/numpy-discussion>mailing list</a>.</p><h2 id=conferences>Conferences<a class=headerlink href=#conferences title="Link to this heading">#</a></h2><p>The NumPy project doesn’t organize its own conferences. The conferences that have traditionally been most popular with NumPy maintainers, contributors and users are the SciPy and PyData conference series:</p><ul><li><a href=https://conference.scipy.org>SciPy US</a></li><li><a href=https://www.euroscipy.org>EuroSciPy</a></li><li><a href=https://pythoncientifico.ar/>SciPy Latin America</a></li><li><a href=https://scipy.in>SciPy India</a></li><li><a href=https://www.scipyjapan.scipy.org/>SciPy Japan</a></li><li><a href=https://pydata.org/event-schedule/>PyData conferences</a> (15-20 events a year spread over many countries)</li></ul><p>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.</p><h2 id=join-the-numpy-community>Join the NumPy community<a class=headerlink href=#join-the-numpy-community title="Link to this heading">#</a></h2><p>To thrive, the NumPy project needs your expertise and enthusiasm. Not a coder? Not a problem! 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