Python on HPC Clusters - Satellite Location: University Duisburg-Essen

Registration

Participant information

Salutation

Mr. Mrs. None

Title

Given Name

Surname

Please select your affiliation. It helps us evaluate our training accessibility across NRW.

Affiliation

Non-HPC.NRW Affiliation

Please select the federal state of your affiliated institute. I helps use to generate required anonymous reporting metrics for our training program.

Federal State

Please select the DFG research subject classification that best applies to your studies or research. It helps us assess whether our training offers reaches and appeals all research communities.

DFG Research subject classification

E-Mail

Ticket options

Ticket

On-site Participant 35 available

Other information

You have to read and accept our Privacy Policy to register for this event.

Privacy Policy

I have read the privacy policy for this event and accept it.

Newsletter

I would like to subscribe to the HPC.NRW event announcement newsletter.

Message to the organizer

Do you have a promotion code?

Enter promotion code, if available

Info

This course will teach you some of the Python-related topics beyond the absolute basics of the language - things you will likely run into as a scientist using Python.

Preliminary list of topics:

Overview of common frameworks: Numpy, Scipy, Pandas, Pytorch, Tensorflow
What everyone should know about Python performance
pip and Conda basics
Using pip and Conda on HPC clusters
Using GPUs and other system resources
Parallel computing with Python

Date and Time

02.02.2026, 15:00 - 18:30
03.02.2026, 15:00 - 18:30

Workshop Locations

University of Bonn (main location, instructor on site)
University of Siegen (satellite location, assistants on site)
Heinrich Heine University Düsseldorf (satellite location, assistants on site)
University of Duisburg-Essen (satellite location, assistants on site)
University of Münster (satellite location, assistants on site)
University of Wuppertal (satellite location, assistants on site)
RWTH Aachen University (satellite location, assistants on site)

We use the so-called "Reverse Hybrid" format, where the Instructor is virtual (streamed from external location) but participants take part as a group on-site, where they are assisted in person by local staff.

Collaborating Partners

Organization

There is no seminar fee, but registration is required.
Presentations will be given in English. Slides will be available after the event.
This is an on-site event at RWTH Aachen University.
Instructor from Univ. of Bonn will be streamed to the location.
Additional assistants will be available on site.
You need to register for your location.

Speaker

Jan Steiner, University of Bonn

Course level

Intermediate

Target audience

Students and researchers working with Python code on HPC clusters

Prerequisites

Laptop with administrative rights to install Python
Working Python interpreter
Working Text Editor of your choice (Python Syntax Highlighting recommended)

Gained skills

Understanding performance of Python programs
Using fast alternatives to basic Python lists and dictionaries
Basics of parallel computing with Python
Use of GPU resources via Python

Course Material

will be published close to the event

Event location

SH-312
Schützenbahn 70
45127 Essen
Deutschland

Coordinates (lat, long):
51.461422, 7.01616

Show map Route planner

Notes

The parking space in front of the building is managed by RWTH and restricted to a specific zone. Using the public transport (ÖPNV) is recommended with bustops Mies-van-der-Rohe-Str. or Seffenter Weg.