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Introduction to Docker and Podman

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This repository generates the corresponding lesson website from The Carpentries repertoire of lessons.

Note Click here for the training website!

The aim of this module is to introduce containers and their role in reproducible research. Participants will learn how to build, run, and share containers using tools like Docker and Podman.

Contributing

We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.

We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the more detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes.

Please see the current list of issues for ideas for contributing to this repository. For making your contribution, we use the GitHub flow, which is nicely explained in the chapter Contributing to a Project in Pro Git by Scott Chacon. Look for the tag good_first_issue. This indicates that the maintainers will welcome a pull request fixing this issue.

Maintainer(s)

Current maintainers of this lesson are

Authors

A list of contributors to the lesson can be found in AUTHORS

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Matthew Feickert
Matthew Feickert

🖋
bregnery
bregnery

🖋
Danika MacDonell
Danika MacDonell

🖋
Samuel Meehan
Samuel Meehan

🖋
mhuwiler
mhuwiler

🖋
Bruno Alves
Bruno Alves

🖋
Aman Desai
Aman Desai

🖋
mdonadoni
mdonadoni

🚧
Marco Mambelli
Marco Mambelli

🚧
Michael K. Wilkinson
Michael K. Wilkinson

🚧
Michel H. Villanueva
Michel H. Villanueva

🖋
Lera Lukashenko (Valeriia Lukashenko)
Lera Lukashenko (Valeriia Lukashenko)

🚧 🖋

This project follows the all-contributors specification. Contributions of any kind welcome!

Citation

To cite this lesson, please consult with CITATION

Open Educational Resources (OER) on Zenodo

This lesson is included in the ETH Domain Open Educational Resources for Research Data Management (RDM) community on Zenodo. These resources support researchers, students, and RDM staff in implementing best practices across the research data lifecycle. The materials developed here are published under open licenses (CC BY 4.0) and can be freely reused and adapted for teaching and training initiatives worldwide.

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