Removing the notebooks from the github repository. (#3704)

* Removing the notebooks from the github repository.

* removing matplotlib

com.unity.ml-agents/CHANGELOG.md

 
 ## [Unreleased]
 ### Major Changes
+ - The Jupyter notebooks have been removed from the repository.
  - Introduced the `SideChannelUtils` to register, unregister and access side channels.
  - `Academy.FloatProperties` was removed, please use `SideChannelUtils.GetSideChannel<FloatPropertiesChannel>()` instead.
 

docs/Installation.md

 
 By installing the `mlagents` package, the dependencies listed in the
 [setup.py file](../ml-agents/setup.py) are also installed. These include
-[TensorFlow](Background-TensorFlow.md) (Requires a CPU w/ AVX support) and
-[Jupyter](Background-Jupyter.md).
+[TensorFlow](Background-TensorFlow.md) (Requires a CPU w/ AVX support).
 
 #### Advanced: Installing for Development
 

docs/Learning-Environment-Create-New.md

 includes a convenient Monitor class that you can use to easily display Agent
 status information in the Game window.
 
-One additional test you can perform is to first ensure that your environment and
-the Python API work as expected using the `notebooks/getting-started.ipynb`
-[Jupyter notebook](Background-Jupyter.md). Within the notebook, be sure to set
-`env_name` to the name of the environment file you specify when building this
-environment.
 
 ## Training the Environment
 

docs/Migrating.md

 ## Migrating from 0.15 to latest
 
 ### Important changes
+* The Jupyter notebooks have been removed from the repository.
-
 
 ### Steps to Migrate
 * Replace `Academy.FloatProperties` with `SideChannelUtils.GetSideChannel<FloatPropertiesChannel>()`.

docs/Python-API.md

 The ML-Agents Toolkit Low Level API is a Python API for controlling the simulation
 loop of an environment or game built with Unity. This API is used by the
 training algorithms inside the ML-Agent Toolkit, but you can also write your own
-Python programs using this API. Go [here](../notebooks/getting-started.ipynb)
-for a Jupyter Notebook walking through the functionality of the API.
+Python programs using this API.
 
 The key objects in the Python API include:
 

docs/Readme.md

 ## Installation & Set-up
 
 * [Installation](Installation.md)
-  * [Background: Jupyter Notebooks](Background-Jupyter.md)
   * [Using Virtual Environment](Using-Virtual-Environment.md)
 
 ## Getting Started

gym-unity/README.md

 
 The returned environment `env` will function as a gym.
 
-For more on using the gym interface, see our
-[Jupyter Notebook tutorial](../notebooks/getting-started-gym.ipynb).
 
 ## Limitations
 

ml-agents/setup.py

         # Test-only dependencies should go in test_requirements.txt, not here.
         "grpcio>=1.11.0",
         "h5py>=2.9.0",
-        "jupyter",
-        "matplotlib",
         "mlagents_envs=={}".format(VERSION),
         "numpy>=1.13.3,<2.0",
         "Pillow>=4.2.1",

docs/Background-Jupyter.md

-# Background: Jupyter
-
-[Jupyter](https://jupyter.org) is a fantastic tool for writing code with
-embedded visualizations. We provide one such notebook,
-`notebooks/getting-started.ipynb`, for testing the Python control interface to a
-Unity build. This notebook is introduced in the
-[Getting Started Guide](Getting-Started.md)
-tutorial, but can be used for testing the connection to any Unity build.
-
-For a walkthrough of how to use Jupyter, see
-[Running the Jupyter Notebook](http://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/execute.html)
-in the _Jupyter/IPython Quick Start Guide_. To launch Jupyter, run in the
-command line:
-
-```sh
-jupyter notebook
-```
-
-Then navigate to `localhost:8888` to access your notebooks.