Find places where JupyterHub need to update its self-referential prose #845
Description
This is a HubDash issue, if you're here for the HubDash, this is low-hanging fruit that you can help with.
Action: Search and browse around Jupyter and Jupyter Hub web pages and find all the places where JupyterHub describes itself (see examples below). Add a link and copy of the text as a comment on this issue.
Connected work: Look for another issue #850 where we'll talk about what language we'll use to talk about JupyterHub more consistently.
In the June workshop in Berkeley we identified many ways that JH talks about itself in the wild. Here are five quick examples:
A multi-user version of the notebook designed for companies, classrooms and research labs https://jupyter.org
JupyterHub brings the power of notebooks to groups of users. It gives users access to computational environments and resources without burdening the users with installation and maintenance tasks. Users - including students, researchers, and data scientists - can get their work done in their own workspaces on shared resources which can be managed efficiently by system administrators. JupyterHub runs in the cloud or on your own hardware, and makes it possible to serve a pre-configured data science environment to any user in the world. It is customizable and scalable, and is suitable for small and large teams, academic courses, and large-scale infrastructure. - https://jupyter.org/hub
JupyterHub is the best way to serve Jupyter notebook for multiple users. Because JupyterHub manages a separate Jupyter environment for each user, it can be used in a class of students, a corporate data science group, or a scientific research group. It is a multi-user Hub that spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server. https://jupyterhub.readthedocs.io/en/stable/index.html
With JupyterHub you can create a multi-user Hub that spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server. Project Jupyter created JupyterHub to support many users. The Hub can offer notebook servers to a class of students, a corporate data science workgroup, a scientific research project, or a high-performance computing group. https://github.com/jupyterhub/jupyterhub
JupyterHub allows users to interact with a computing environment through a webpage. As most devices have access to a web browser, JupyterHub makes it is easy to provide and standardize the computing environment for a group of people (e.g., for a class of students or an analytics team). https://z2jh.jupyter.org/en/stable/index.html