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DOC: fix a few URLs (#42764)
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doc/source/getting_started/overview.rst

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@@ -29,7 +29,7 @@ and :class:`DataFrame` (2-dimensional), handle the vast majority of typical use
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cases in finance, statistics, social science, and many areas of
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engineering. For R users, :class:`DataFrame` provides everything that R's
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``data.frame`` provides and much more. pandas is built on top of `NumPy
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<https://www.numpy.org>`__ and is intended to integrate well within a scientific
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<https://numpy.org>`__ and is intended to integrate well within a scientific
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computing environment with many other 3rd party libraries.
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Here are just a few of the things that pandas does well:
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specialized tool.
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- pandas is a dependency of `statsmodels
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<https://www.statsmodels.org/stable/index.html>`__, making it an important part of the
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<https://statsmodels.org>`__, making it an important part of the
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statistical computing ecosystem in Python.
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- pandas has been used extensively in production in financial applications.
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Institutional partners
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----------------------
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The information about current institutional partners can be found on `pandas website page <https://pandas.pydata.org/about.html>`__.
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The information about current institutional partners can be found on `pandas website page <https://pandas.pydata.org/about/sponsors.html>`__.
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License
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