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LSST-related notebook repositories¶

Many groups in LSST and the wider community are sharing Jupyter notebooks on GitHub. These notebooks are excellent resources for learning about LSST data processing and can be inspiration for your own work.

Getting notebooks from GitHub¶

You can clone any Git repository from GitHub to work with its notebooks.

  1. Open the JupyterLab terminal.

  2. git clone https://github.com/{{org}}/{{repo}}

  3. Open notebooks from JupyterLab’s file browser.

Notebook repositories¶

Take a look at these GitHub repositories to find interesting notebooks:

Repository

Description

rubin-dp0/tutorial-notebooks

Tutorial notebooks intended to run on the IDF, but could be useful for users running in other environments too.

lsst-dm/dm-demo-notebooks

Notebooks by LSST Data Management that demonstrate LSST DM software.

lsst-com/notebooks

A collection point for LSST Commissioning-related Jupyter notebooks.

LSSTScienceCollaborations/DMStackClub

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

lsst-dm/tutorial-lsst2017

This is the tutorial notebook from LSST Data Management’s onsite tutorials. Check out the answers branch to run the notebook all the way through — or try to code it yourself from master.

Suggest a repository¶

If you would like to share your own open-source repository of notebooks, feel free to submit an issue or pull request to this documentation.

On this page

  • LSST-related notebook repositories
    • Getting notebooks from GitHub
    • Notebook repositories
    • Suggest a repository

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Financial support for LSST comes from the National Science Foundation (NSF) through Cooperative Agreement No. 1258333, the Department of Energy (DOE) Office of Science under Contract No. DE-AC02-76SF00515, and private funding raised by the LSST Corporation. The NSF-funded LSST Project Office for construction was established as an operating center under management of the Association of Universities for Research in Astronomy (AURA). The DOE-funded effort to build the LSST camera is managed by the SLAC National Accelerator Laboratory (SLAC).