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UID:DSC-20594
DTSTART;TZID=Europe/Berlin:20240730T100000
SEQUENCE:1709892400
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20240730T150000
URL:https://www.dresden-science-calendar.de/calendar/de/detail/20594
LOCATION:Online\,   
SUMMARY:Lehmann: ScaDS.AI-Tutorial: JupyterHub on HPC
CLASS:PUBLIC
DESCRIPTION:Speaker: Dr. Christoph Lehmann\, Elias Werner\, Lena Jurkschat\
 nInstitute of Speaker: ScaDS.AI Dresden/Leipzig\nTopics:\n\n Location:\n  
 Name: Online ()\n  Street:  \n  City:  \n  Phone: \n  Fax: \nDescription: 
 JupyterHub is considered an interface to an HPC system for data analysis a
 nd other computation tasks. It is a powerful tool that serves single-user 
 Jupyter notebooks for a large number of users under an HPC environment tha
 t can be useful in a teaching-learning context. Most of the users with bas
 ic knowledge of it may understand at a high level the basic functionalitie
 s but may not know all the features. They may also have used the tool befo
 re but without understanding the HPC machine behind it. The purpose of the
  course is to explain to the lecturers/tutors the features and functionali
 ties that JupyterHub can offer to improve their lectures and optimize thei
 r workflow and collaboration with the students. The target group also incl
 udes researchers trying to provide a means for communication and demonstra
 ting research results to colleagues via Jupyter in a collaborative context
 .    The registration will open on 15.06.2024.
DTSTAMP:20260818T100624Z
CREATED:20240308T100640Z
LAST-MODIFIED:20240308T100640Z
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