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GettingStarted

Getting Started

Wondering how you can get started learning about the LSST software stack, by writing tutorial notebooks and contributing them to the Stack Club's growing library? Need help getting going on the LSST Science Platform (LSP) JupyterLab? See the index table below for links to various resources, including: notes on the LSP, notebooks to walk you through the Stack Club workflow, and some help on how to explore the Stack code. Click on the "rendered" links to see the notebooks with their outputs.

Notebook Short description Links Owner
Notes on Getting Started Some brief notes on the LSST Science Platform JupyterLab set-up. markdown Phil Marshall
Hello World Read about the Stack Club git/GitHub workflow, and make your first contribution to a notebook.

ipynb, rendered

Phil Marshall
Templates A folder containing a template notebook, and a template folder README file, to help you get your project started. link Phil Marshall
Finding Docs Locate the documentation for Stack code objects, including using the stackclub library where_is utility function.

ipynb, rendered

Phil Marshall
Import Tricks Learn how to use some stackclub library utilities for importing notebooks and remote modules.

ipynb, rendered

Phil Marshall