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.gitattributes

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pandas_gbq/_version.py export-subst

.gitignore

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gi#########################################
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# Editor temporary/working/backup files #
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.#*
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*\#*\#
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[#]*#
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*~
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*$
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*.bak
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*flymake*
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*.kdev4
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*.log
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*.swp
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*.pdb
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.project
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.pydevproject
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.settings
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.idea
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.vagrant
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.noseids
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.ipynb_checkpoints
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.tags
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# Docs #
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########
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docs/source/_build
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# Coverage #
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############
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.coverage
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coverage.xml
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coverage_html_report
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# Compiled source #
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###################
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*.a
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*.com
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*.class
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*.dll
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*.exe
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*.pxi
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*.o
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*.py[ocd]
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*.so
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.build_cache_dir
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MANIFEST
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# Python files #
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################
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# setup.py working directory
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build
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# setup.py dist directory
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dist
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# Egg metadata
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*.egg-info
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.eggs
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.pypirc
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# tox testing tool
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.tox
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# rope
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.ropeproject
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# wheel files
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*.whl
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**/wheelhouse/*
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# coverage
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.coverage
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# OS generated files #
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######################
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.directory
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.gdb_history
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.DS_Store
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ehthumbs.db
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Icon?
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Thumbs.db
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# caches #
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.cache

LICENSE.md

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=======
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License
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=======
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pandas-msgpack 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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pandas license
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==============
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Copyright (c) 2011-2012, Lambda Foundry, Inc. and PyData Development Team
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All rights reserved.
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Copyright (c) 2008-2011 AQR Capital Management, LLC
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are
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met:
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* Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above
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copyright notice, this list of conditions and the following
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disclaimer in the documentation and/or other materials provided
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with the distribution.
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* Neither the name of the copyright holder nor the names of any
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contributors may be used to endorse or promote products derived
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from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDER AND CONTRIBUTORS
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"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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About the Copyright Holders
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===========================
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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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Wes is now an employee of Lambda Foundry, and remains the pandas project
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lead.
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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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core team that coordinates development on GitHub can be found here:
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http://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 have specific copyright on,
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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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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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# 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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Other licenses can be found in the LICENSES directory.

MANIFEST.in

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include MANIFEST.in
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include README.rst
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include LICENSE.md
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include setup.py
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graft pandas_msgpack
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global-exclude *.so
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global-exclude *.pyd
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global-exclude *.pyc
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global-exclude *~
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global-exclude \#*
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global-exclude .git*
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global-exclude .DS_Store
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global-exclude *.png
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include versioneer.py
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include pandas_msgpack/_version.py

README.rst

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pandas-msgpack
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==============
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|Build Status| |Version Status| |Coverage Status|
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**pandas-msgpack** is a package providing an interface to msgpack from pandas
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Installation
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------------
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Install latest release version via conda
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. code-block:: shell
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$ conda install pandas-msgpack --channel conda-forge
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Install latest release version via pip
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. code-block:: shell
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$ pip install pandas-msgpack
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Install latest development version
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. code-block:: shell
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$ pip install git+https://github.com/pydata/pandas-msgpack.git
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Usage
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-----
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See the `pandas-msgpack documentation <https://pandas-msgpack.readthedocs.io/>`_ for more details.
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.. |Build Status| image:: https://travis-ci.org/pydata/pandas-msgpack.svg?branch=master
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:target: https://travis-ci.org/pydata/pandas-msgpack
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.. |Version Status| image:: https://img.shields.io/pypi/v/pandas-msgpack.svg
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:target: https://pypi.python.org/pypi/pandas-msgpack/
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.. |Coverage Status| image:: https://img.shields.io/codecov/c/github/pydata/pandas-msgpack.svg
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:target: https://codecov.io/gh/pydata/pandas-msgpack/

codecov.yml

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coverage:
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status:
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project:
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default:
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target: '30'
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patch:
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default:
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target: '50'
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branches: null

docs/README.rst

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To build a local copy of the pandas-msgpack docs, install the programs in
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requirements-docs.txt and run 'make html'. If you use the conda package manager
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these commands suffice::
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git clone [email protected]:pydata/pandas-msgpack.git
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cd dask/docs
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conda create -n pandas-msgpack-docs --file requirements-docs.txt
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source activate pandas-msgpack-docs
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make html
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open build/html/index.html

docs/requirements-docs.txt

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ipython
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numpydoc
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sphinx
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sphinx_rtd_theme
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pandas

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