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DOC: Fix grammar in AUTHORS.md (#61739)
* DOC: Fix grammar in AUTHORS.md * Add compatible statsmodels version to environment.yml to fix CI ImportError * DOC: Fix grammatical issues in AUTHORS.md * DOC: Fix grammar and improve clarity in AUTHORS.md * DOC: Fix grammar and improve clarity in AUTHORS.md
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AUTHORS.md

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@@ -7,12 +7,12 @@ About the Copyright Holders
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led by Wes McKinney. AQR released the source under this license in 2009.
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* Copyright (c) 2011-2012, Lambda Foundry, Inc.
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Wes is now an employee of Lambda Foundry, and remains the pandas project
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Wes became an employee of Lambda Foundry, and remained the pandas project
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lead.
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* Copyright (c) 2011-2012, PyData Development Team
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The PyData Development Team is the collection of developers of the PyData
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project. This includes all of the PyData sub-projects, including pandas. The
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project. This includes all of the PyData sub-projects, such as pandas. The
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core team that coordinates development on GitHub can be found here:
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https://github.com/pydata.
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@@ -23,11 +23,11 @@ Our Copyright Policy
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PyData uses a shared copyright model. Each contributor maintains copyright
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over their contributions to PyData. However, it is important to note that
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these contributions are typically only changes to the repositories. Thus,
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these contributions are typically limited to changes to the repositories. Thus,
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the PyData source code, in its entirety, is not the copyright of any single
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person or institution. Instead, it is the collective copyright of the
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entire PyData Development Team. If individual contributors want to maintain
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a record of what changes/contributions they have specific copyright on,
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a record of the specific changes or contributions they hold copyright to,
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they should indicate their copyright in the commit message of the change
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when they commit the change to one of the PyData repositories.
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@@ -50,7 +50,7 @@ Other licenses can be found in the LICENSES directory.
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License
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=======
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pandas is distributed under a 3-clause ("Simplified" or "New") BSD
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pandas is distributed under the 3-clause ("Simplified" or "New") BSD
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license. Parts of NumPy, SciPy, numpydoc, bottleneck, which all have
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BSD-compatible licenses, are included. Their licenses follow the pandas
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BSD-compatible licenses, are included. Their licenses are compatible with the pandas
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license.

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