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Update citation webpage (#33311)
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README.md

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# pandas: powerful Python data analysis toolkit
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[![PyPI Latest Release](https://img.shields.io/pypi/v/pandas.svg)](https://pypi.org/project/pandas/)
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[![Conda Latest Release](https://anaconda.org/conda-forge/pandas/badges/version.svg)](https://anaconda.org/anaconda/pandas/)
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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3509134.svg)](https://doi.org/10.5281/zenodo.3509134)
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[![Package Status](https://img.shields.io/pypi/status/pandas.svg)](https://pypi.org/project/pandas/)
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[![License](https://img.shields.io/pypi/l/pandas.svg)](https://github.com/pandas-dev/pandas/blob/master/LICENSE)
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[![Travis Build Status](https://travis-ci.org/pandas-dev/pandas.svg?branch=master)](https://travis-ci.org/pandas-dev/pandas)

web/pandas/about/citing.md

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## Citing pandas
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If you use _pandas_ for a scientific publication, we would appreciate citations to one of the following papers:
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If you use _pandas_ for a scientific publication, we would appreciate citations to the published software and the
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following paper:
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- [pandas on Zenodo](https://zenodo.org/record/3715232#.XoqFyC2ZOL8),
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Please find us on Zenodo and replace with the citation for the version you are using. You cna replace the full author
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list from there with "The pandas development team" like in the example below.
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@software{reback2020pandas,
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author = {The pandas development team},
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title = {pandas-dev/pandas: Pandas},
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month = feb,
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year = 2020,
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publisher = {Zenodo},
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version = {latest},
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doi = {10.5281/zenodo.3509134},
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url = {https://doi.org/10.5281/zenodo.3509134}
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}
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- [Data structures for statistical computing in python](https://conference.scipy.org/proceedings/scipy2010/pdfs/mckinney.pdf),
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McKinney, Proceedings of the 9th Python in Science Conference, Volume 445, 2010.
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@inproceedings{mckinney2010data,
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title={Data structures for statistical computing in python},
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author={Wes McKinney},
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booktitle={Proceedings of the 9th Python in Science Conference},
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volume={445},
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pages={51--56},
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year={2010},
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organization={Austin, TX}
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}
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- [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),
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McKinney, Python for High Performance and Scientific Computing, Volume 14, 2011.
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@article{mckinney2011pandas,
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title={pandas: a foundational Python library for data analysis and statistics},
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author={Wes McKinney},
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journal={Python for High Performance and Scientific Computing},
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volume={14},
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year={2011}
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@InProceedings{ mckinney-proc-scipy-2010,
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author = { {W}es {M}c{K}inney },
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title = { {D}ata {S}tructures for {S}tatistical {C}omputing in {P}ython },
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booktitle = { {P}roceedings of the 9th {P}ython in {S}cience {C}onference },
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pages = { 56 - 61 },
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year = { 2010 },
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editor = { {S}t\'efan van der {W}alt and {J}arrod {M}illman },
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doi = { 10.25080/Majora-92bf1922-00a }
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}
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## Brand and logo

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