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Add new introduction to jhub on docs
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JupyterHub
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==========
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`JupyterHub`_, a multi-user **Hub**, spawns, manages, and proxies multiple
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`JupyterHub`_ is the best way to serve `Jupyter notebook`_ for multiple users.
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It can be used in a classes of students, a corporate data science group or scientific
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research group. It is a multi-user **Hub** that spawns, manages, and proxies multiple
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instances of the single-user `Jupyter notebook`_ server.
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JupyterHub can be used to serve notebooks to a class of students, a corporate
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data science group, or a scientific research group.
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.. image:: images/jhub-parts.png
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To make life easier, JupyterHub have distributions. Be sure to
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take a look at them before continuing with the configuration of the broad
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original system of `JupyterHub`_. Today, you can find two main cases:
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1. If you need a simple case for a small amount of users (0-100) and single server
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take a look at
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`The Littlest JupyterHub <https://github.com/jupyterhub/the-littlest-jupyterhub>`__ distribution.
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2. If you need to allow for even more users, a dynamic amount of servers can be used on a cloud,
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take a look at the `Zero to JupyterHub with Kubernetes <https://github.com/jupyterhub/zero-to-jupyterhub-k8s>`__ .
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Four subsystems make up JupyterHub:
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* a **Hub** (tornado process) that is the heart of JupyterHub
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* a **configurable http proxy** (node-http-proxy) that receives the requests from the client's browser
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* multiple **single-user Jupyter notebook servers** (Python/IPython/tornado) that are monitored by Spawners
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* an **authentication class** that manages how users can access the system
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Besides these central pieces, you can add optional configurations through a `config.py` file and manage users kernels on an admin panel. A simplification of the whole system can be seen in the figure below:
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.. image:: images/jhub-fluxogram.jpeg
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:alt: JupyterHub subsystems
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:width: 40%
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:align: right
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:width: 80%
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:align: center
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Three subsystems make up JupyterHub:
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* a multi-user **Hub** (tornado process)
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* a **configurable http proxy** (node-http-proxy)
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* multiple **single-user Jupyter notebook servers** (Python/IPython/tornado)
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JupyterHub performs the following functions:
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