Metadata-Version: 2.1
Name: bmcds
Version: 0.1.2
Summary: Collection of personal functions for data science
Home-page: https://github.com/BenJMcCarty/bmcds
Author: Ben McCarty
Author-email: bmccarty505@gmail.com
License: GNU General Public License v3
Keywords: bmcds
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
License-File: LICENSE
License-File: AUTHORS.rst
Requires-Dist: Click (>=7.0)
Requires-Dist: pmdarima

=====
bmcds
=====


.. image:: https://img.shields.io/pypi/v/bmcds.svg
        :target: https://pypi.python.org/pypi/bmcds

.. image:: https://img.shields.io/travis/BenJMcCarty/bmcds.svg
        :target: https://travis-ci.com/BenJMcCarty/bmcds

.. image:: https://readthedocs.org/projects/bmcds/badge/?version=latest
        :target: https://bmcds.readthedocs.io/en/latest/?version=latest
        :alt: Documentation Status




Collection of personal functions for data science created during Flatiron Data Science boot camp.

**Many current functions are in need of updates and polish:**
        * Converting project-specific functions to generalized functions
        * Adding additional documentation
        * Breaking up larger functions into smaller ones

* Free software: GNU General Public License v3
* Documentation: https://bmcds.readthedocs.io.


Features
--------

* TODO

Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======

0.1.0 (2021-11-20)
------------------

* First release on PyPI.


