add additonal sections and update README.rst

LICENSE

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+Copyright (C) 2020 Matrix Profile Foundation and contributors.                                 
+
                                  Apache License
                            Version 2.0, January 2004
                         http://www.apache.org/licenses/

README.rst

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+.. |br| raw:: html
+
+   <br />
+
+===============================
+ MatrixProfile-TS Documentation
+===============================
+
+.. image:: https://img.shields.io/pypi/v/matrixprofile-ts.svg
+    :target: https://pypi.org/project/matrixprofile-ts/
+    :alt: PyPI Version
+.. image:: https://pepy.tech/badge/matrixprofile-ts
+    :target: https://pepy.tech/project/matrixprofile-ts
+    :alt: PyPI Downloads
+.. image:: https://travis-ci.org/target/matrixprofile-ts.svg
+    :target: https://travis-ci.org/target/matrixprofile-ts
+    :alt: Build Status
+.. image:: https://anaconda.org/conda-forge/matrixprofile-ts/badges/version.svg
+    :target: https://anaconda.org/conda-forge/matrixprofile-ts
+    :alt: Conda-forge Version
+.. image:: https://anaconda.org/conda-forge/matrixprofile-ts/badges/downloads.svg
+    :target: https://anaconda.org/conda-forge/matrixprofile-ts
+    :alt: Conda-forge Downloads
+.. image:: https://img.shields.io/badge/License-Apache%202.0-blue.svg
+    :target: https://opensource.org/licenses/Apache-2.0
+    :alt: License
+.. image:: https://img.shields.io/twitter/follow/matrixprofile.svg?style=social
+    :target: https://twitter.com/matrixprofile
+    :alt: Twitter
+
+|br|            
+
+.. image:: https://matrixprofile.org/static/img/mpf-logo.png
+    :target: https://matrixprofile.org
+    :height: 300px
+    :scale: 50%
+    :alt: MPF Logo
+
+MatrixProfile-TS
+----------------
+MatrixProfile-TS is a Python 2 and 3 library, brought to you by the `Matrix Profile Foundation <https://matrixprofile.org>`_, for mining time series data. The Matrix Profile is a novel data structure developed by the `Keogh <https://www.cs.ucr.edu/~eamonn/MatrixProfile.html>`_ and `Mueen <https://www.cs.unm.edu/~mueen/>`_ research groups at UC-Riverside and the University of New Mexico. The goal of this library is to make these algorithms accessible to both the novice and expert.
+|br|
+|br|
+In addition to this Python library, the Matrix Profile Foundation, provides implementations in other languages. These languages have a pretty consistent API allowing you to easily switch between them without a huge learning curve.
+
+* `tsmp <https://github.com/matrix-profile-foundation/tsmp>`_ - an R implementation
+* `go-matrixprofile <https://github.com/matrix-profile-foundation/go-matrixprofile>`_ - a Golang implementation
+
+Installation
+------------
+The easiest way to install this library is using pip. If you would like to install it from source, please review the `installation documentation <http://matrixprofile-ts.docs.matrixprofile.org/install.html>`_ for your platform.
+
+.. code-block:: bash
+
+   pip install matrixprofile-ts
+
+Getting Started
+---------------
+Our documentation provides a `quick start guide <http://matrixprofile-ts.docs.matrixprofile.org/Quickstart.html>`_, `examples <http://matrixprofile-ts.docs.matrixprofile.org/examples.html>`_ and `api <http://matrixprofile-ts.docs.matrixprofile.org/api.html>`_ documentation. It is the source of truth for getting up and running.
+
+Algorithms
+----------
+For details about the algorithms implemented, including performance characteristics, please refer to the `documentation <http://matrixprofile-ts.docs.matrixprofile.org/Algorithms.html>`_.
+
+.. include:: help.rst
+
+.. include:: contributing.rst
+
+.. include:: code_of_conduct.rst
+
+.. include:: citations.rst