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Instructions for Pandas Sprints

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The project

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pandas 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 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 to the project.

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Set up for the sprint

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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.

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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 on GitHub (click on the top-right fork button)
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    In the terminal, run:
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    git clone https://github.com/<your-github-username>/pandas
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A summary of it would be:

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  • Download and install Anaconda

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    Activate conda by one of the next (or equivalent, if you know what you’re doing):
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    Restart your terminal
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    . ~/.bashrc
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    export PATH="<path-to-anaconda>/bin:$PATH"
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    Create a conda environment:
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    conda create -n pandas_dev -f <path-to-pandas>/ci/environment-dev.yaml

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    Activate the new conda environment:
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    source activate pandas_dev

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    Install pandas development dependencies:
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    conda install -c defaults -c conda-forge --file=<path-to-pandas>/ci/requirements-optional-conda.txt

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    Compile C code in pandas:
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    python setup.py build_ext --inplace
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    Run the tests:
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    cd <path-to-pandas>
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    pytest pandas
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