Wapaul1 e19e2c6284 Print jupyter notebook token when starting web UI. (#887)
* User now only needs to copy url to get to notebook

* Fixed duplicate code

* Added function to print url

* Added exception for calling function on worker

* Stored webui url in Redis

* Fix linting and simplify code.

* Now uses 24 bytes hex token

* Fixed python 3 compatibility

* Fix linting and python 3 compat

* Added comment explaining generating the token.

* Removed newline

* Small fixes.

* Fixed jenkins failure

* Rebased and changed formatting

* Revert "changed formatting"

This reverts commit 226510cf0cdcaab9cf42ad30bd9588a963683592.
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Ray
===

.. image:: https://travis-ci.org/ray-project/ray.svg?branch=master
    :target: https://travis-ci.org/ray-project/ray

.. image:: https://readthedocs.org/projects/ray/badge/?version=latest
    :target: http://ray.readthedocs.io/en/latest/?badge=latest

|

Ray is a flexible, high-performance distributed execution framework.

Installation
------------

- Ray can be installed on Linux and Mac with ``pip install ray``.
- To build Ray from source, see the instructions for `Ubuntu`_ and `Mac`_.

.. _`Ubuntu`: http://ray.readthedocs.io/en/latest/install-on-ubuntu.html
.. _`Mac`: http://ray.readthedocs.io/en/latest/install-on-macosx.html


More Information
----------------

- `Documentation`_
- `Blog`_
- `HotOS paper`_

.. _`Documentation`: http://ray.readthedocs.io/en/latest/index.html
.. _`Blog`: https://ray-project.github.io/ray/
.. _`HotOS paper`: https://arxiv.org/abs/1703.03924
S
Description
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
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