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version bump.
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setup.py

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from os import path
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classifiers = [
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'Development Status :: 3 - Alpha',
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'Intended Audience :: Financial and Insurance Industry',
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'Programming Language :: Python',
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'Operating System :: OS Independent',
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'Natural Language :: English',
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'License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)',
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"Development Status :: 3 - Alpha",
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"Intended Audience :: Financial and Insurance Industry",
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"Programming Language :: Python",
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"Operating System :: OS Independent",
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"Natural Language :: English",
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"License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)",
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]
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# read the contents of your README file
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this_directory = path.abspath(path.dirname(__file__))
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with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
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with open(path.join(this_directory, "README.md"), encoding="utf-8") as f:
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long_description = f.read()
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setup(name='finta',
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version='0.3.8',
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description=' Common financial technical indicators implemented in Pandas.',
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long_description=long_description,
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long_description_content_type='text/markdown',
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url='https://github.com/peerchemist/finta',
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author='Peerchemist',
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author_email='[email protected]',
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license='LGPLv3+',
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packages=['finta'],
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install_requires=['pandas', 'numpy']
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)
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setup(
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name="finta",
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version="0.3.9",
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description=" Common financial technical indicators implemented in Pandas.",
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long_description=long_description,
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long_description_content_type="text/markdown",
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keywords=["technical analysis", "ta", "pandas", "finance", "numpy", "analysis"],
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url="https://github.com/peerchemist/finta",
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author="Peerchemist",
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author_email="[email protected]",
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license="LGPLv3+",
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packages=["finta"],
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install_requires=["pandas", "numpy"],
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)

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