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`pandas <https://pandas.pydata.org/>`_ is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
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pandas is a `NumFOCUS <https://www.numfocus.org/sponsored-projects/>`_ sponsored project. This will help ensure the success of development of pandas as a world-class open-source project, and makes it possible to `donate <https://pandas.pydata.org/donate.html>`_ to the project.
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Set up for the sprint
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=====================
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Make sure you **bring your own laptop** to the sprint.
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You need the next softwares installed:
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* Git
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* An editor (vim, emacs, PyCharm,...)
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To **set up the environment**, you have detailed instructions in the `pandas contributing guide <https://pandas.pydata.org/pandas-docs/stable/contributing.html>`_.
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Create an account on Github github.com
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Get the pandas source code:
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* Fork the `pandas project <https://github.com/pandas-dev/pandas>`_ on GitHub (click on the top-right fork button)
<h1>Instructions for Pandas Sprints<aclass="headerlink" href="#instructions-for-pandas-sprints" title="Permalink to this headline">¶</a></h1>
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<divclass="section" id="the-project">
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<h2>The project<aclass="headerlink" href="#the-project" title="Permalink to this headline">¶</a></h2>
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<p><aclass="reference external" href="https://pandas.pydata.org/">pandas</a> is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.</p>
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<p>pandas is a <aclass="reference external" href="https://www.numfocus.org/sponsored-projects/">NumFOCUS</a> sponsored project. This will help ensure the success of development of pandas as a world-class open-source project, and makes it possible to <aclass="reference external" href="https://pandas.pydata.org/donate.html">donate</a> to the project.</p>
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</div>
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<divclass="section" id="set-up-for-the-sprint">
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<h2>Set up for the sprint<aclass="headerlink" href="#set-up-for-the-sprint" title="Permalink to this headline">¶</a></h2>
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<p>Make sure you <strong>bring your own laptop</strong> to the sprint.</p>
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<p>You need the next softwares installed:</p>
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<ulclass="simple">
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<li>Git</li>
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<li>An editor (vim, emacs, PyCharm,...)</li>
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</ul>
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<p>To <strong>set up the environment</strong>, you have detailed instructions in the <aclass="reference external" href="https://pandas.pydata.org/pandas-docs/stable/contributing.html">pandas contributing guide</a>.</p>
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<p>Create an account on Github github.com</p>
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<p>Get the pandas source code:</p>
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<ulclass="simple">
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<li>Fork the <aclass="reference external" href="https://github.com/pandas-dev/pandas">pandas project</a> on GitHub (click on the top-right fork button)</li>
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