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index.md

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# Caltech/IPAC--IRSA Python Notebook Tutorials
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# Caltech/IPACIRSA Python Notebook Tutorials
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These Python Jupyter Notebook tutorials demonstrate access methods and techniques for working with data served by the [NASA/IPAC Infrared Science Archive (IRSA)](https://irsa.ipac.caltech.edu).
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They cover topics like querying IRSA, working with catalogs in Parquet format, visualizing with Firefly, and general other techniques.
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## Accessing IRSA's on-premises holdings using VO protocols
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## Accessing IRSA's cloud holdings
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These notebooks demonstrate how to access the IRSA-curated datasets that available in Amazon Web Services (AWS) S3 cloud storage buckets.
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## Accessing Euclid data
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## Accessing SPHEREx data
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## Interactive visualization in Python with Firefly
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These notebooks demonstrate how to use the Firefly visualization tools from Python.
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[Firefly](https://github.com/Caltech-IPAC/firefly) is an open-source toolkit based on IVOA standards and designed to enable astronomical data archive access, exploratory data analysis, and visualization.
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It is used in archive user interfaces at [IRSA](https://irsa.ipac.caltech.edu), the [NASA Exoplanet Science Institute (NExScI)](https://nexsci.caltech.edu/), the [NASA/IPAC Extragalactic Database (NED)](https://ned.ipac.caltech.edu/), and the [Vera C. Rubin Observatory](https://www.lsst.org/).
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## Simulated Data
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## Generally useful techniques
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These notebooks cover miscellaneous topics that users might find useful in their analysis of IRSA-curated data.
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***
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## About these notebooks
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**Authors:** IRSA Scientists and Developers wrote and maintain these notebooks.

myst.yml

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version: 1
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project:
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title: IRSA Tutorials
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# description:
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# keywords: []
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# authors: []
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description: IRSA Python Notebook tutorials to demostrate accessing data served by the NASA/IPAC Infrared Science Archive (IRSA)
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keywords: [astronomy]
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authors: [IRSA Scientists and Developers]
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github: https://github.com/Caltech-IPAC/irsa-tutorials/
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toc:
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- title: IRSA Tutorials

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