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Wed Jun 24 2026 - Fri Jun 26 Past

Wed - Fri 24 Jun 2026 - 26 Jun 2026Past

Intermediate Python Topics

Workshop Aachen (RWTH Aachen University)

Registration Closed

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 day carpentries-style workshop on intermediate python, to be presented at RWTH Aachen University on the 24th and 26th of June, 2026. The workshop will cover the following topics:

Virtual Environments
Useful Standard Library Modules
Classes and Object Oriented Programming
Inheritance and Composition
Creating a Python Module
Static Code Analysis
Unit Testing
Publishing a python package

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. Registration stays open until the day before the event,

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

Title: Intermediate Python Topics
When: Wednesday, June 24th & Friday, June 26th (9am-5pm)
Where: RWTH Aachen University, Germany (Kopernikusstraße 6, 52074 Aachen, Seminarraum 003)
Format: This workshop in In-Person and no remote or online attendance options are currently planned.

Tags:

Do's and Don'ts in Research Data Management

C. Hillen
Data , RDM

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
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This event takes place in English

Organizing decentrally stored data requires more than just a good overview and discipline. The right tool plays a crucial role in successful data management and productive collaboration in research teams. One such tool is DataLad, whose powerful features make it much easier to manage, version and distribute large amounts of data and promote the reproducibility of research processes. To help researchers use DataLad efficiently and deepen their knowledge, the data competence centers DKZ.2R, WiNoDa and the NFDI consortia NFDI4ING and NFDI4Objects are organizing a three-day workshop. From June 30 to July 2, there will be many opportunities to try out practice-oriented content and intensive collaboration with DataLad at the IT Center of RWTH Aachen University.

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