-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>SciPy US</li><li>EuroSciPy</li><li>SciPy Latin America</li><li>SciPy India</li><li>SciPyData Japan</li><li>PyData conferences (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! There are many ways to contribute to NumPy.</p><p>If you are interested in becoming a NumPy contributor (yay!) we recommend checking out our <a href=/contribute/>Contribute</a> page.</p><p>Also, feel free to stop by and say hi at one of our community meetings. To keep track of them, check out our events calendar <a href=https://scientific-python.org/calendars/>here</a>.</p></div><div id=shortcuts-container><div id=shortcuts><div id=shortcuts-header><i class="fa-solid fa-list"></i> On this page</div></div></div></section><div id=backtotop><a href=# id=backtotop-color><i class="fa-solid fa-arrow-up"></i></a></div><footer id=footer><div class=container><div id=footer-columns><div id=footer-logo-column><img id=footer-logo class=dark-light src=/images/logo.svg alt="NumPy logo. "></div><div class=footer-column><div class=footer-item><a href=/install>Install</a></div><div class=footer-item><a href=https://numpy.org/doc/stable>Documentation</a></div><div class=footer-item><a href=/learn>Learn</a></div><div class=footer-item><a href=/citing-numpy>Citing NumPy</a></div><div class=footer-item><a href=https://numpy.org/neps/roadmap.html>Roadmap</a></div></div><div class=footer-column><div class=footer-item><a href=/about>About us</a></div><div class=footer-item><a href=/community>Community</a></div><div class=footer-item><a href=/user-surveys>User surveys</a></div><div class=footer-item><a href=/contribute>Contribute</a></div><div class=footer-item><a href=/code-of-conduct>Code of conduct</a></div></div><div class=footer-column><div class=footer-item><a href=/gethelp>Get help</a></div><div class=footer-item><a href=/terms>Terms of use</a></div><div class=footer-item><a href=/privacy>Privacy</a></div><div class=footer-item><a href=/press-kit>Press kit</a></div></div><div class=footer-actions><div class=community-icons><a href=https://github.com/numpy/numpy aria-label=https://github.com/numpy/numpy><svg class="icon github-icon" viewBox="0 0 24 24" viewBox="0 0 24 24"><path d="M12 .297c-6.63.0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577.0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93.0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176.0.0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22.0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22.0 1.606-.015 2.896-.015 3.286.0.315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12"/></svg>
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