mooc-anon 0.2
MOOC Anonymous is a python package for helping the online learning community.

MOOC_ANON
====

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    :alt: Latest PyPI version

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   :target: https://travis-ci.org/borntyping/cookiecutter-pypackage-minimal
   :alt: Latest Travis CI build status

This is a python package for helping the online learning community.

Usage
-----
import mooc_anon

Methods:

1. LinkedIn Learning:

  a. Business Learning paths:
    i. llp_bus_csv(): This is a method that returns a CSV file of all the learning paths in the business category.
    ii. llp_bus_skills(): This is a method that returns a list of all the skills in the business category.
    iii. llp_bus_courses(): This is a method that returns a list of all the learning paths in the business category.
    iv. llp_bus_dict(): This is a method that returns a dictionary of skills and their learning paths in the business category.


    b. Creative Learning paths:
      i. llp_cre_csv(): This is a method that returns a CSV file of all the learning paths in the creative category.
      ii. llp_cre_skills(): This is a method that returns a list of all the skills in the creative category.
      iii. llp_cre_courses(): This is a method that returns a list of all the learning paths in the creative category.
      iv. llp_cre_dict(): This is a method that returns a dictionary of skills and their learning paths in the creative category.

    c. Technology Learning paths:
        i. llp_tech_csv(): This is a method that returns a CSV file of all the learning paths in the Technology category.
        ii. llp_tech_skills(): This is a method that returns a list of all the skills in the Technology category.
        iii. llp_tech_courses(): This is a method that returns a list of all the learning paths in the Technology category.
        iv. llp_tech_dict(): This is a method that returns a dictionary of skills and their learning paths in the Technology category.


Installation
------------
pip install mooc_anon

Requirements
^^^^^^^^^^^^

Compatibility
-------------

License
-------
The MIT License (MIT)

Copyright (c) 2019 Emmanuel Acheampong

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.


Authors
-------

`mooc_anon` was written by `Emmanuel Acheampong <achampion.emma@gmail.com>`_.