Tue - Thu 7 Jul 2026 - 9 Jul 2026Past

By DKZ.2R: Introduction to Programming with Python

Workshop Bonn (Bonn University)
Workshop Python Carpentries
Registration Closed

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.
Tags :

Related Posts

By DKZ.2R: Data Analytics for Engineering Data Using Machine Learning

We are happy to announce our new course “Data analytics for engineering data using machine learning”. The event will take place online on three consecutive days in february of 2026. This three-day online workshop addresses the preparation, analysis and interpretation of numerical simulation data by machine learning methods. Besides the introduction of the most important concepts like clustering, dimensionality reduction, visualization and prediction, this course provides several practical hands-on tutorials using the python libraries numpy, scikit-learn and pytorch as well as the SCAI DataViewer.

Read More

By DKZ.2R: Advanced Git

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

In this workshop, we will look at the steps beyond “git add” and “git commit” and look at some of the less frequently used (but still important!) git commands to help you resolve common issues that arise in git controlled projects.

Read More
Do's and Don'ts in Research Data Management

Do's and Don'ts in Research Data Management

Research Data Management Do’s and Don’ts - Step up your RDM skills!

1. Structuring and naming your folders There is an easy way to make your data findable for you and your team: establish a folder structure which makes sense for you and your working group as well as naming conventions for your folders.

Don’t:

Paul and Suzie
»Guideline
>application
»version2_final
»v.3
»review
»3rd.version
>JD
»qn
»0-1

Instead do:

000_int_orga
»01_application
»02_review 120_questionaires
»01_qualitative »02_quantitative 130_data
»01_qualitative »02_quantitative

Read More