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Calculate predicted learning value from history of assessments using Marzano's Power Law

Project description

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Marzano Power Law Calculator
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.. image:: https://img.shields.io/pypi/v/marzano.svg
:target: https://pypi.python.org/pypi/marzano

.. image:: https://img.shields.io/travis/sreyemnayr/marzano.svg
:target: https://travis-ci.org/sreyemnayr/marzano

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


.. image:: https://pyup.io/repos/github/sreyemnayr/marzano/shield.svg
:target: https://pyup.io/repos/github/sreyemnayr/marzano/
:alt: Updates



Requires modern Python

* Free software: MIT license
* Documentation: https://marzano.readthedocs.io.


Features
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* Simple CLI interface for inputting scores
* marzano.powerlaw() takes a list and returns the power score

Credits
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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


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History
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2019.02.14 (2019-02-14)
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* First release on PyPI.


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