8000 DOC: Fix grammar in AUTHORS.md by sangampaudel530 · Pull Request #61739 · pandas-dev/pandas · GitHub
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DOC: Fix grammar in AUTHORS.md #61739

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12 changes: 6 additions & 6 deletions AUTHORS.md
Original file line number Diff line number Diff line change
Expand Up @@ -7,12 +7,12 @@ About the Copyright Holders
led by Wes McKinney. AQR released the source under this license in 2009.
* Copyright (c) 2011-2012, Lambda Foundry, Inc.

Wes is now an employee of Lambda Foundry, and remains the pandas project
Wes became an employee of Lambda Foundry, and remained the pandas project
lead.
* Copyright (c) 2011-2012, PyData Development Team

The PyData Development Team is the collection of developers of the PyData
project. This includes all of the PyData sub-projects, including pandas. The
project. This includes all of the PyData sub-projects, such as pandas. The
core team that coordinates development on GitHub can be found here:
https://github.com/pydata.

Expand All @@ -23,11 +23,11 @@ Our Copyright Policy

PyData uses a shared copyright model. Each contributor maintains copyright
over their contributions to PyData. However, it is important to note that
these contributions are typically only changes to the repositories. Thus,
these contributions are typically limited to changes to the repositories. Thus,
the PyData source code, in its entirety, is not the copyright of any single
person or institution. Instead, it is the collective copyright of the
entire PyData Development Team. If individual contributors want to maintain
a record of what changes/contributions they have specific copyright on,
a record of the specific changes or contributions they hold copyright to,
they should indicate their copyright in the commit message of the change
when they commit the change to one of the PyData repositories.

Expand All @@ -50,7 +50,7 @@ Other licenses can be found in the LICENSES directory.
License
=======

pandas is distributed under a 3-clause ("Simplified" or "New") BSD
pandas is distributed under the 3-clause ("Simplified" or "New") BSD
license. Parts of NumPy, SciPy, numpydoc, bottleneck, which all have
BSD-compatible licenses, are included. Their licenses follow the pandas
BSD-compatible licenses, are included. Their licenses are compatible with the pandas
license.
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