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<ahref="http://pandas.pydata.org/">pandas</a> is an open source Python library for data manipulation and analysis.
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Its popularity is skyrocketing, and it is becoming the de-facto standard for data science and data engineering.
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Its popularity is skyrocketing, and it is becoming the de-facto standard for data science, data analysis and data engineering.
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</p>
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<p>
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Like most free software projects, pandas is developed by volunteers world wide. Often,
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This is why we are organizing a worldwide sprint, in which we plan to leave the
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API documentation for the Series and DataFrame classes in a perfect state.
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Like most free software projects, pandas is developed by volunteers world wide. Most of the communication among contributors,
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and between contributors and users happens online. This summit is an opportunity to meet each other in person, discuss, and
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work together.
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</p>
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<h4>Useful information</h4>
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<h3class="section-title multiple-title">Who is this event for?</h3>
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<p>
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In short: <b>for anyone interested in making pandas and its ecosystem better</b>. This includes:
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In short: <b>for anyone interested in making pandas and its ecosystem better</b>.
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</p>
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<p>
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While we call the event the European pandas summit, we are excited to welcome anyone
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willing to travel from any part of the world. Also, we would be happy to see other
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people from the open source community working in related things. For example, upstream packages
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like numpy or Arrow. Downstream packages like Dask or Vaex. And similar tools like R.
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</p>
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<p>
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Also, the event is open to companies and individuals interested in helping make pandas better,
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by hiring peoeple to work full or part time in pandas. Or that are interested in provide
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funding to hire people to work on pandas.
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</p>
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<ulclass="list-arrow-right">
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<li>The pandas <b>core development team</b></li>
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<li><b>Contributors</b> to pandas</li>
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<li>Contributors to <b>other open source projects</b> of the ecosystem</li>
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<li><b>Sponsors and donors</b> of <ahref="https://numfocus.org/">NumFOCUS</a> and <ahref="https://pydata.org/">PyData</a> conferences</li>
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<li>Past and future <b>sponsors and donors</b> of <ahref="https://numfocus.org/">NumFOCUS</a> and <ahref="https://pydata.org/">PyData</a> conferences</li>
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<li>Anyone else interested in making pandas or related open source tools better</li>
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</ul>
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@@ -245,7 +259,7 @@ <h3 class="section-title multiple-title">Who is this event for?</h3>
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