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1 change: 1 addition & 0 deletions README.md
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# pandas: powerful Python data analysis toolkit
[![PyPI Latest Release](https://img.shields.io/pypi/v/pandas.svg)](https://pypi.org/project/pandas/)
[![Conda Latest Release](https://anaconda.org/conda-forge/pandas/badges/version.svg)](https://anaconda.org/anaconda/pandas/)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3509134.svg)](https://doi.org/10.5281/zenodo.3509134)
[![Package Status](https://img.shields.io/pypi/status/pandas.svg)](https://pypi.org/project/pandas/)
[![License](https://img.shields.io/pypi/l/pandas.svg)](https://github.com/pandas-dev/pandas/blob/master/LICENSE)
[![Travis Build Status](https://travis-ci.org/pandas-dev/pandas.svg?branch=master)](https://travis-ci.org/pandas-dev/pandas)
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46 changes: 25 additions & 21 deletions web/pandas/about/citing.md
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## Citing pandas

If you use _pandas_ for a scientific publication, we would appreciate citations to one of the following papers:
If you use _pandas_ for a scientific publication, we would appreciate citations to the published software and the
following paper:

- [pandas on Zenodo](https://zenodo.org/record/3715232#.XoqFyC2ZOL8),
Please find us on Zenodo and replace with the citation for the version you are using. You cna replace the full author
list from there with "The pandas development team" like in the example below.

@software{reback2020pandas,
author = {The pandas development team},
title = {pandas-dev/pandas: Pandas},
month = feb,
year = 2020,
publisher = {Zenodo},
version = {latest},
doi = {10.5281/zenodo.3509134},
url = {https://doi.org/10.5281/zenodo.3509134}
}

- [Data structures for statistical computing in python](https://conference.scipy.org/proceedings/scipy2010/pdfs/mckinney.pdf),
McKinney, Proceedings of the 9th Python in Science Conference, Volume 445, 2010.

@inproceedings{mckinney2010data,
title={Data structures for statistical computing in python},
author={Wes McKinney},
booktitle={Proceedings of the 9th Python in Science Conference},
volume={445},
pages={51--56},
year={2010},
organization={Austin, TX}
}


- [pandas: a foundational Python library for data analysis and statistics](https://www.scribd.com/document/71048089/pandas-a-Foundational-Python-Library-for-Data-Analysis-and-Statistics),
McKinney, Python for High Performance and Scientific Computing, Volume 14, 2011.

@article{mckinney2011pandas,
title={pandas: a foundational Python library for data analysis and statistics},
author={Wes McKinney},
journal={Python for High Performance and Scientific Computing},
volume={14},
year={2011}
@InProceedings{ mckinney-proc-scipy-2010,
author = { {W}es {M}c{K}inney },
title = { {D}ata {S}tructures for {S}tatistical {C}omputing in {P}ython },
booktitle = { {P}roceedings of the 9th {P}ython in {S}cience {C}onference },
pages = { 56 - 61 },
year = { 2010 },
editor = { {S}t\'efan van der {W}alt and {J}arrod {M}illman },
doi = { 10.25080/Majora-92bf1922-00a }
}

## Brand and logo
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