Greetings,


The JupyterHub team will be providing a technical tutorial of JupyterHub 
this Friday, January 27, 10:00-11:30 am Pacific Time. The goal of the 
tutorial is to provide Jupyter developers (especially the day-to-day team) 
with a solid technical overview of the JupyterHub architecture. Members of 
the community are welcome to join us online, though please note that, 
unfortunately, we will have limited seats. If you do join us and have 
questions about deploying JupyterHub as an end user, please ask those 
questions toward the end of the tutorial Discussion + Q & A or (better 
yet!) on the mailing list. We'll record the session and make it available 
shortly afterwards so that all members of the community can view it on 
demand.


Meeting link: https://bluejeans.com/702657302



Agenda: 

   - [15 min] Overview and State of JupyterHub 
   - [30 min] Teaching with JupyterHub 
      - nbgrader: Using services and enhancements 
      - Cal Poly: Deploying with Ansible and using JupyterLab 
      - Berkeley: Data8 architecture overview 
   - [20 min] Looking towards the future release 
   - [20 min] Discussion and Q&A 


—

Jamie Whitacre

Jupyter Technical Project Manager

Berkeley Institute for Data Science (BIDS)

jupyter.org | bids.berkeley.edu

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