PaulPrice / StackClub

Learning the LSST DM Stack, by writing jupyter notebook tutorials.

Home Page:https://lsstsciencecollaborations.github.io/DMStackClub/

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This is an LSSTC-supported project, to form a small community committed to learning how to use, and explain, the LSST DM Stack.

We're following a 3-phase plan, which you can read about in more detail here. Phase 0 is collecting existing tutorials and identifying potential club members from around the LSST Science Collaborations. Then, in Phase 1 (late May 2018 to mid August 2018) we'll work together to turn a subset of those existing "seed" tutorials into community-maintained jupyter notebooks, for display at the August LSST 2018 Project and Community Workshop. Then, we plan to open up to a larger group from the science collaborations starting at the PCW, extending and spinning off the initial set of notebooks. The idea is that the best way to learn something is to try and teach it: if you can write a useful tutorial on part of the DM Stack, you have to understand that part first.

If you have questions, please write us an issue!

Community Tutorials

In progress! Our goal is to build on the existing LSST DM Stack demo and tutorial notebooks to create a set of community-generated, community-oriented notebooks that reflect the science interests and expected analyses of the LSST Science Collaborations.

Topic Description Notebook Location
Getting Started Basics of using JupyterLab, and contributing to the DM Stack Club repo. DMStackClub/GettingStarted
Visualization Displaying images and catalogs. DMStackClub/Visualization
Image Processing From raw images to calexps and coadds. DMStackClub/ImageProcessing
SourceDetection Detection of sources in images - including low surface brightness galaxies. DMStackClub/SourceDetection

Contributing

New Stack Club members: please see the notes on getting started - they'll walk you onto you new LSST Science Platform account, and show you how to work on your tutorial notebooks.

Everyone else: we welcome pull requests! Feel free to fork this repo and send us a pull request. And if you are interested in joining the DM Stack Club, please drop one of us a line, or come and find us in the #dm-stack-club LSSTC Slack channel.

Contact

We welcome your input! Please post questions and suggestions in the issues of this repository. You can also contact the following points of contact directly via the links below:

The Club meets periodically via Zoom, but you can find us on LSSTC Slack at #dm-stack-club. You can also watch the tutorial walkthroughs in the Club sessions in the videos linked from our Meetings page.

License

The text in this repository is Copyright The Authors, and licensed under Creative Commons CC-BY-ND 4.0, which means you can copy and redistribute the material in any medium or format for any purpose, as long as you give appropriate credit, provide a link to the license, and indicate if changes were made. If you remix, transform, or build upon the material, you may not distribute the modified material - this is to prevent incorrect information about the Stack getting out there, or at least, take responsibility ourselves if it does. All the code in this repository is available for re-use under the MIT License, which means you can do anything you like with it but you can't blame us if it doesn't do what you want.

About

Learning the LSST DM Stack, by writing jupyter notebook tutorials.

https://lsstsciencecollaborations.github.io/DMStackClub/

License:MIT License


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