Skip to main content

Browse the archive

https://github.com/bukosabino/ta
27 March 2024, 20:28:23 UTC
Revision ad8246cf564d3778c61d259909b7999baf8f73f9 authored by Dario Lopez Padial on 07 November 2019, 15:51:33 UTC, committed by Dario Lopez Padial on 07 November 2019, 15:51:33 UTC 
clean code
1 parent 7ed2a1d
Raw File
Tip revision: ad8246cf564d3778c61d259909b7999baf8f73f9 authored by Dario Lopez Padial on 07 November 2019, 15:51:33 UTC
clean code
Tip revision: ad8246c
setup.py 
# -*- coding: utf-8 -*-
from distutils.core import setup
setup(
    name = 'ta',
    packages = ['ta'],
    version = '0.4.7',
    description='Technical Analysis Library in Python',
    long_description='It is a Technical Analysis library to financial time series datasets. You can use to do feature engineering. It is builded on Python Pandas library.',
    author = 'Dario Lopez Padial (Bukosabino)',
    author_email = 'Bukosabino@gmail.com',
    url = 'https://github.com/bukosabino/ta',
    maintainer='Dario Lopez Padial (Bukosabino)',
    maintainer_email='Bukosabino@gmail.com',
    install_requires=[
        'numpy',
        'pandas',
        'scikit-learn'
    ],
    download_url = 'https://github.com/bukosabino/ta/tarball/0.4.7',
    keywords = ['technical analysis', 'python3', 'pandas'],
    license='The MIT License (MIT)',
    classifiers = [],
)
back to top