Python Data Analysis on JupyterHub

Published: 3 Nov 2021 by HPC Team Freiburg

The bwHPC project cordially invites you to the workshop

Python Data Analysis with Dask, Pandas on JupyterHub

on 11.11.2021 starting at 14:00 CET.

The workshop briefly introduces the basics of Python. In the main part, the use of NumPy, Pandas and parallel Dask for Machine Learning under JuyterHub is presented with an application example. In this respect, the course is suitable for beginners and advanced students with a focus on parallel computing.

Access is via browser or WebEx client at: WebEx Link

The workshop is organized by the HS Esslingen, the University of Konstanz and the KIT. An account on the bwUniCluster is helpful, access to a JupyterHub with a (Conda) installation of the above mentioned packages is necessary.

The 10th bwHPC Symposium will take place on September 25th and 26th, 2024 and will be hosted by the University of Freiburg. Registration and call for participation are now open.

The use of a second factor to secure logins to services is becoming increasingly mandatory. bwHPC currently uses time-based one-time passwords (TOTP) or Yubico OTP as a second factor for SSH logins. We have looked at some hardware security tokens for bwIDM/bwHPC that can be used instead of a mobile phone.

The initial partition of NEMO2, consisting of around 140 Milan nodes and 1000 terabytes (one petabyte) of high-speed storage space, has been ordered. A tender for a GPU partition and a second CPU partition will be opened in early 2024.