Aris Nivorlis
Aris Nivorlis is a researcher geophysicist and data steward at Deltares, where he uses data and tooling to answer complex questions about the subsurface.
He is passionate about promoting good practices in data management and scientific coding, helping teams build sustainable and reproducible workflows.
Outside of work, Aris is actively involved in the European Python community, contributing to the organization and support of conferences and community initiatives. When he's not at his computer, you’ll likely find him dancing salsa.
Deltares
Geophysicist, Researcher, Data Steward
Session
Your analysis works perfectly on your laptop. Three weeks later, it breaks on the server. Your colleague can’t run your code nor reproduce your results. The client’s environment throws mysterious errors. Sound familiar?
This hands-on workshop teaches you to build reproducible workflows using a practical approach that addresses real challenges teams face when sharing code, collaborating on research, or deploying data pipelines.
You’ll learn to:
- Lock dependencies and manage isolated Python environments
- Version control your code and your data
- Externalize parameters using configuration files
- Containerize your application for consistent deployment
- Apply collaboration practices that scale with your team