A workshop offered in collaboration with the Graduate center of Bonn University.

This workshop will cover the very basics of Python, from variable assignment to data types to loops, conditional, and functions. Participants will be guided with the help of live-coded examples and self-paced exercises.

We will cover the following Topics (selection):

  • Variable Assignment & Data Types
  • Importing Libraries
  • Reading and Plotting Tabular Data
  • List / Dictionaries
  • Loops
  • Conditional Statements
  • Functions

The workshop material is available online and will be presented by official carpentry instructors who will walk you through the steps and are available for questions the entire time. Although some experience with other scripting / programming languages would be beneficial, no prior knowledge of Python is required. The event is open to participants from all domains. To participate in the course please bring your own laptop. 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.

  • Title: Introduction to Programming with Python
  • When: Tuesday, July 7th & Thursday, July 9th (09:00am-4:30pm)
  • Where: Bonn (University Bonn)
  • Format: This workshop in In-Person and no remote or online attendance options are currently planned.

Related Posts

By DKZ.2R: Introduction to Machine Learning with Python and Scikit-Learn

As part of our “Trainings” work package, the DKZ.2R creates, curates and presents a variety of free trainings, seminars and courses. Our next offering will be a one and a half day carpentries-style workshop on basic machine learning using python and scikit-learn, to be presented at RWTH Aachen University on 1st and 2nd of April, 2026. The workshop will cover the following topics:

  • What is Machine Learning / Why bother?
  • Supervised Methods (Regression / Classification)
  • Ensemble Methods
  • Unsupervised Methods (Clustering / Dimensionality Reduction)
  • Neural Networks
  • Ethics and Implications of Machine Learning

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. The official registration is already closed, for last-minute registrations please contact us via info@dkz2r.de.

Read More

By DKZ.2R: The Carpentries Workshop: Introduction to Git

The DKZ.2R presents, as a part of our “Trainings” work package, a Carpentries Workshop on the 2nd of February with an “Introduction to Git”. This is an official Carpentries Workshop and will be hosted on-site at the Humboldt-Universität zu Berlin.

Workshop material is available online and will be presented by official Carpentries instructors, who will guide you through the concepts with the help of hands-on exercises and personalized support. The course is designed for beginners and is open to participants from all domains. No prior knowledge is required. If you are interested in taking part in the workshop, you can sign up here.

Read More
How To: Open Science

How To: 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.

Read More