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DOC: Fix grammatical issues in AUTHORS.md
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AUTHORS.md

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# About the Copyright Holders
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* Copyright (c) 2008-2011 AQR Capital Management, LLC
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AQR Capital Management began pandas development in 2008. Development was
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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 lead of the pandas project.
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* Copyright (c) 2011-2012, PyData Development Team
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The PyData Development Team is a collection of developers of the PyData
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project. This includes all 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](https://github.com/pydata).
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Full credits for pandas contributors can be found in the documentation.
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# 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 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.
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If individual contributors want to maintain a record of the changes or contributions they hold specific copyright on,
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they should indicate this in the commit message when committing the change
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to one of the PyData repositories.
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With this in mind, the following banner should be used in any source code
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file to indicate the copyright and license terms:
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```
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#-----------------------------------------------------------------------------
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# Copyright (c) 2012, PyData Development Team
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# All rights reserved.
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#
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# Distributed under the terms of the BSD Simplified License.
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#
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# The full license is in the LICENSE file, distributed with this software.
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#-----------------------------------------------------------------------------
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```
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Other applicable licenses can be found in the LICENSES directory.
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# License
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pandas is distributed under a 3-clause ("Simplified" or "New") BSD
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license. Parts of NumPy, SciPy, numpydoc, and bottleneck, which all have
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BSD-compatible licenses, are included. Their licenses follow the pandas
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license.
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About the Copyright Holders
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===========================
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* Copyright (c) 2008-2011 AQR Capital Management, LLC
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AQR Capital Management began pandas development in 2008. Development was
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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 lead of the pandas project.
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* Copyright (c) 2011-2012, PyData Development Team
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The PyData Development Team is a collection of developers of the PyData
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project. This includes all PyData sub-projects, including 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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Full credits for pandas contributors can be found in the documentation.
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Our Copyright Policy
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====================
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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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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 specifically hold copyright on,
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they should indicate their copyright in the commit message
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when they commit the change to one of the PyData repositories.
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With this in mind, the following banner should be used in any source code
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file to indicate the copyright and license terms:
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```
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#-----------------------------------------------------------------------------
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# Copyright (c) 2012, PyData Development Team
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# All rights reserved.
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#
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# Distributed under the terms of the BSD Simplified License.
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#
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# The full license is in the LICENSE file, distributed with this software.
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#-----------------------------------------------------------------------------
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```
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Other applicable 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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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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license.

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