"JupyterHub is a server that gives multiple users access to Jupyter notebooks,
running an independent Jupyter notebook server for each user.
To use JupyterHub, you need a Unix server (typically Linux) running
somewhere that is accessible to your team on the network. The JupyterHub server
can be on an internal network at your organisation, or it can run on the public
internet (in which case, take care with security).
Users access JupyterHub in a web browser, by going to the IP address or
domain name of the server.
Different authenticators control access
to JupyterHub. The default one (pam) uses the user accounts on the server where
JupyterHub is running. If you use this, you will need to create a user account
on the system for each user on your team. Using other authenticators, you can
allow users to sign in with e.g. a Github account, or with any single-sign-on
system your organisation has.
Next, spawners control how JupyterHub starts
the individual notebook server for each user. The default spawner will
start a notebook server on the same machine running under their system username.
The other main option is to start each server in a separate container, often
using Docker."
https://jupyterhub.readthedocs.io/en/latest/
https://github.com/jupyterhub/jupyterhub
How to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support - https://github.com/PiercingDan/spark-Jupyter-AWS
Jupyter + Pachyderm — Part 1, Exploring and Understanding Historical Analyses - https://medium.com/pachyderm-data/jupyter-pachyderm-part-1-exploring-and-understanding-historical-analyses-2a37e56c6578
Related Software
nteract - a desktop application that allows you to develop rich documents that contain prose, executable
code (in almost any language!), and images
https://github.com/nteract/nteract
dockerspawner -
No comments:
Post a Comment