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Release 0.7.0
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README.md

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[![Coverage by codecov.io](https://codecov.io/github/EntilZha/PyFunctional/coverage.svg?branch=master)](https://codecov.io/github/EntilZha/PyFunctional?branch=master)
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[![ReadTheDocs](https://readthedocs.org/projects/scalafunctional/badge/?version=latest)](http://docs.pyfunctional.org)
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[![Latest Version](https://badge.fury.io/py/pyfunctional.svg)](https://pypi.python.org/pypi/pyfunctional/)
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[![Gitter](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/EntilZha/ScalaFunctional?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
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[![Gitter](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/EntilZha/PyFunctional?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
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## Features
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`PyFunctional` makes creating data pipelines easy by using chained functional operators. Here are a

setup.py

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license='MIT',
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keywords='functional pipeline data collection chain rdd linq parallel',
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packages=find_packages(exclude=['contrib', 'docs', 'tests*', 'test']),
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version='0.6.0',
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version='0.7.0',
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install_requires=install_requires,
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extras_requires={
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'all': ['pandas']
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},
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classifiers=[
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'Development Status :: 4 - Beta',
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'Development Status :: 5 - Production/Stable',
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'Intended Audience :: Developers',
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'License :: OSI Approved :: MIT License',
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'Programming Language :: Python :: 2.7',

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