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Jupyter notebook tutorial for using the LSST Data Management software stack, created for the June 2017 meeting in Lyon

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DM Stack Tutorial for LSST@Lyon 2017

This tutorial was intended to be run in a JupyterHub environment provided for the Lyon meeting, but it should be usable on any system with Jupyter, the w_2017_21 release of the LSST DM stack (or similar; see pipelines.lsst.io for installation instructions), and the https://github.com/lsst/ci_hsc package available with slight modifications.

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Jupyter notebook tutorial for using the LSST Data Management software stack, created for the June 2017 meeting in Lyon

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