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DOC: fix redirects to user guide in README (#38189)
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README.md

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@@ -63,24 +63,24 @@ Here are just a few of the things that pandas does well:
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date shifting and lagging
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[missing-data]: https://pandas.pydata.org/pandas-docs/stable/missing_data.html#working-with-missing-data
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[insertion-deletion]: https://pandas.pydata.org/pandas-docs/stable/dsintro.html#column-selection-addition-deletion
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[alignment]: https://pandas.pydata.org/pandas-docs/stable/dsintro.html?highlight=alignment#intro-to-data-structures
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[groupby]: https://pandas.pydata.org/pandas-docs/stable/groupby.html#group-by-split-apply-combine
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[conversion]: https://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe
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[slicing]: https://pandas.pydata.org/pandas-docs/stable/indexing.html#slicing-ranges
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[fancy-indexing]: https://pandas.pydata.org/pandas-docs/stable/indexing.html#advanced-indexing-with-ix
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[subsetting]: https://pandas.pydata.org/pandas-docs/stable/indexing.html#boolean-indexing
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[merging]: https://pandas.pydata.org/pandas-docs/stable/merging.html#database-style-dataframe-joining-merging
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[joining]: https://pandas.pydata.org/pandas-docs/stable/merging.html#joining-on-index
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[reshape]: https://pandas.pydata.org/pandas-docs/stable/reshaping.html#reshaping-and-pivot-tables
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[pivot-table]: https://pandas.pydata.org/pandas-docs/stable/reshaping.html#pivot-tables-and-cross-tabulations
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[mi]: https://pandas.pydata.org/pandas-docs/stable/indexing.html#hierarchical-indexing-multiindex
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[flat-files]: https://pandas.pydata.org/pandas-docs/stable/io.html#csv-text-files
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[excel]: https://pandas.pydata.org/pandas-docs/stable/io.html#excel-files
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[db]: https://pandas.pydata.org/pandas-docs/stable/io.html#sql-queries
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[hdfstore]: https://pandas.pydata.org/pandas-docs/stable/io.html#hdf5-pytables
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[timeseries]: https://pandas.pydata.org/pandas-docs/stable/timeseries.html#time-series-date-functionality
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[missing-data]: https://pandas.pydata.org/pandas-docs/stable/user_guide/missing_data.html
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[insertion-deletion]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html#column-selection-addition-deletion
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[alignment]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html?highlight=alignment#intro-to-data-structures
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[groupby]: https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html#group-by-split-apply-combine
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[conversion]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html#dataframe
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[slicing]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#slicing-ranges
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[fancy-indexing]: https://pandas.pydata.org/pandas-docs/stable/user_guide/advanced.html#advanced
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[subsetting]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#boolean-indexing
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[merging]: https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#database-style-dataframe-or-named-series-joining-merging
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[joining]: https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#joining-on-index
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[reshape]: https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html
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[pivot-table]: https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html
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[mi]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#hierarchical-indexing-multiindex
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[flat-files]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#csv-text-files
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[excel]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#excel-files
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[db]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#sql-queries
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[hdfstore]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#hdf5-pytables
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[timeseries]: https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#time-series-date-functionality
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## Where to get it
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The source code is currently hosted on GitHub at:
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Further, general questions and discussions can also take place on the [pydata mailing list](https://groups.google.com/forum/?fromgroups#!forum/pydata).
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## Discussion and Development
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Most development discussions take place on github in this repo. Further, the [pandas-dev mailing list](https://mail.python.org/mailman/listinfo/pandas-dev) can also be used for specialized discussions or design issues, and a [Gitter channel](https://gitter.im/pydata/pandas) is available for quick development related questions.
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Most development discussions take place on GitHub in this repo. Further, the [pandas-dev mailing list](https://mail.python.org/mailman/listinfo/pandas-dev) can also be used for specialized discussions or design issues, and a [Gitter channel](https://gitter.im/pydata/pandas) is available for quick development related questions.
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## Contributing to pandas [![Open Source Helpers](https://www.codetriage.com/pandas-dev/pandas/badges/users.svg)](https://www.codetriage.com/pandas-dev/pandas)
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