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1 About the Copyright Holders
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2 ===========================
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3
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4 * Copyright (c) 2008-2011 AQR Capital Management, LLC
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5
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6 AQR Capital Management began pandas development in 2008. Development was
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7 led by Wes McKinney. AQR released the source under this license in 2009.
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8 * Copyright (c) 2011-2012, Lambda Foundry, Inc.
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9
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10 Wes is now an employee of Lambda Foundry, and remains the pandas project
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11 lead.
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12 * Copyright (c) 2011-2012, PyData Development Team
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13
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14 The PyData Development Team is the collection of developers of the PyData
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15 project. This includes all of the PyData sub-projects, including pandas. The
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16 core team that coordinates development on GitHub can be found here:
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17 https://github.com/pydata.
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18
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19 Full credits for pandas contributors can be found in the documentation.
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20
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21 Our Copyright Policy
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22 ====================
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23
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24 PyData uses a shared copyright model. Each contributor maintains copyright
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25 over their contributions to PyData. However, it is important to note that
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26 these contributions are typically only changes to the repositories. Thus,
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27 the PyData source code, in its entirety, is not the copyright of any single
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28 person or institution. Instead, it is the collective copyright of the
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29 entire PyData Development Team. If individual contributors want to maintain
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30 a record of what changes/contributions they have specific copyright on,
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31 they should indicate their copyright in the commit message of the change
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32 when they commit the change to one of the PyData repositories.
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33
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34 With this in mind, the following banner should be used in any source code
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35 file to indicate the copyright and license terms:
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36
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37 ```
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38 #-----------------------------------------------------------------------------
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39 # Copyright (c) 2012, PyData Development Team
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40 # All rights reserved.
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41 #
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42 # Distributed under the terms of the BSD Simplified License.
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43 #
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44 # The full license is in the LICENSE file, distributed with this software.
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45 #-----------------------------------------------------------------------------
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46 ```
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47
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48 Other licenses can be found in the LICENSES directory.
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49
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50 License
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51 =======
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52
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53 pandas is distributed under a 3-clause ("Simplified" or "New") BSD
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54 license. Parts of NumPy, SciPy, numpydoc, bottleneck, which all have
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55 BSD-compatible licenses, are included. Their licenses follow the pandas
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56 license.
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