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Mon Nov 3 2025 - Tue Nov 4 Past

Mon - Tue 3 Nov 2025 - 4 Nov 2025Past

The Carpentries Workshop: Plotting and Programming in Python

Workshop Essen (University of Duisburg-Essen, Campus Essen)

Registration Closed

As part of our “Trainings” work package, the DKZ.2R curates and provides a variety of trainings, seminars and courses. As a part of this, we are offering an official Carpentries Workshop on the 3rd and 4th of November on the topic of “Plotting and Programming in Python”.

We will cover the following Topics:

Variables and Assignment
Data Types
Importing Libraries
Reading Tabular Data
Lists and Dictionaries
For Loops and Conditional Statments
Functions
Programming Style

Workshop material is available online and will be presented by instructors who will walk you through the steps and are available for questions throughout the event. If you are interested in taking part in the workshop, you can sign up here.

All workshop material is also available online on GitHub: Link to repository

Title: Plotting and Programming in Python
When: Monday, November 3rd (10:30am-5pm) and Tuesday, November 4th (9am-5pm)
Where: UDE, Campus Essen, Germany (Room R12 R06 A52, Universitätsstr. 12, 45117 Essen)
Format: This workshop in In-Person and no remote or online attendance options are currently planned.

Tags:

How To: Open Science

A. Mielke
Data , RDM , Open Science

Tired of Recreating someone else’s work? - How Open Science can accelerate research and overcome reinvention

Have you ever found papers on algorithms but their implementation is missing? Found an interesting analysis but there is no way to check the results, as you don’t have access to the data they were derived from? Ever thought you had a great idea for a project, just to find out a year later that you are not the only research group following that specific idea? Not having access to other people’s code, data, metrics or even their plans for research projects often leads to unnecessary delays and scientific redundancies. There is an easy solution to overcome (almost) all of these issues. It’s called Open Science! What is Open Science? The UNESCO defines Open Science as a construct of “movements and practices aiming to make multilingual scientific knowledge openly available, accessible and reusable for everyone, to increase scientific collaborations and sharing of information for the benefits of science and society, and to open the processes of scientific knowledge creation, evaluation and communication to societal actors […]”. To ensure that everyone has access to scientific knowledge and infrastructure, Open Science focuses on four main concepts.

Announcement - Call for participation

A. Janz
Consulting , Data , RDM , HPC , Data Science , Artificial Intelligence , Machine Learning

Update (June 24, 2024)

The call for participation is now open! Read more

Upcoming!

The Data Literacy Center Rhine-Rhur is issuing a call for participation in its “rent-an-expert” project! This is a great opportunity for PhD students and early postdocs who are working on research projects that involve data science, artificial intelligence, high performance computing and simulation, to get free support from our expert consultants.

Support can take the form of short- or long-term consulting, depending on the needs of the project. More info will be available shortly!

HPC Series: Python on HPC Clusters

Short description
For May of 2025 we recommend the HPC Series: Python on HPC Clusters course, offered by the Jan Steiner and Shayma Wahdan at University of Bonn. The 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.

The course is spread over two half-days. It will be held as a hybrid course - both online via Zoom and in person at HRZ (Wegelerstr. 6), room 0.012. The course language is English