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Prepare for v1.3.1 release
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Kevin D Smith committed Jun 4, 2018
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7 changes: 7 additions & 0 deletions CHANGELOG.md
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# Change Log

## 1.3.1 - 2018-06-04

- Increase compatibility with older and newer versions of pandas
- Automatically convert columns with SAS date/time formats to Python date/time objects
- Improve `CASTable.merge` algorithm
- Fix autocompletion on `CAS` and `CASTable` objects

## 1.3.0 - 2017-12-12

- Add new summary statistics for new version of CAS
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4 changes: 2 additions & 2 deletions doc/source/install.rst
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The SWAT package is installed using the ``pip`` command. The requirements
for using the binary protocol of CAS (recommended) are as follows.

* **64-bit** Python 2.7 or 3.4-3.6 on Linux or Windows
* **64-bit** Python 2.7 or 3.4-3.6 on Linux

For Linux, see additional shared library notes below.
See additional shared library notes below.

The binary protocol requires pre-compiled components found in the ``pip``
installer only. These pieces are not available as source code and
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9 changes: 9 additions & 0 deletions doc/source/whatsnew.rst
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This document outlines features and improvements from each release.

v1.3.1 (June 4, 2018)
=====================

- Increase compatibility with older and newer versions of pandas
- Automatically convert columns with SAS date/time formats to Python date/time objects
- Improve `CASTable.merge` algorithm
- Fix autocompletion on `CAS` and `CASTable` objects


v1.3.0 (December 12, 2017)
==========================

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2 changes: 1 addition & 1 deletion setup.py
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setup(
zip_safe=False,
name='swat',
version='1.3.1-dev',
version='1.3.1',
description='SAS Scripting Wrapper for Analytics Transfer (SWAT)',
long_description=README,
author='SAS',
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2 changes: 1 addition & 1 deletion swat/__init__.py
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# SAS Formatter
from .formatter import SASFormatter # noqa: E402

__version__ = '1.3.1-dev'
__version__ = '1.3.1'

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