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Note that the lesson material can change at any point - if you are planning a workshop using this material, 
either let the maintainers know or make sure you use your own fork of the lesson.

InterPython: High-Performance Computing for Astronomical Software Development

The HPC course for astronomy. Basic knowledge of Python is expected. Based on the Carpentries workshops.

Lesson Status

The lesson is currently in development.

Teaching the Lesson

The lesson is suitable for both instructor-led teaching or guided self-learning where instructors provide help and answer questions (synchronously or asynchrounously) as learners go through the course on their own. The lesson contains three sections, including the introductory one, and can be covered in ~8 hours.

Contributing

We welcome all contributions and comments.

Maintainer(s)

Current maintainers of this lesson (in alphabetical order) are:

Authors

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

Licence

Instructional material from this lesson is made available under the Creative Commons Attribution (CC BY 4.0) licence. Except where otherwise noted, example programs and software included as part of this lesson are made available under the MIT licence. For more information, see LICENSE.md.

Citation

To cite this lesson, please consult with CITATION.

Contact

Acknowledgements

The authors of this lesson are endorsed by the LSST TVS Science Collaboration.

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