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Merge pull request #3 from bsipocz/CONT_adding_tutorials
Moving the cloud tutorials
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index.md

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@@ -7,7 +7,11 @@ They cover topics like querying IRSA, working with catalogs in Parquet format, a
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## Accessing IRSA archive holdings
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### Images
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### Image Thumbnailes
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These notebooks show how to query IRSA's image services, inspect the results, and download and visualize images.
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They use the tools: PyVO, Astropy.
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```{toctree}
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```
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<!---
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### Catalogs
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```{toctree}
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---
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maxdepth: 1
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---
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```
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## Visualizations
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```{toctree}
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---
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maxdepth: 1
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---
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```
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-->
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## IRSA in the cloud
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This notebook demonstrates basic access to the IRSA-curated datasets available in AWS S3 cloud storage buckets.
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It uses the tools: Pandas, PyArrow, Astropy, Astroquery, PyVO, S3FS
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```{toctree}
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---
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maxdepth: 1
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---
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tutorials/cloud_access/cloud-access-intro
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```
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### Catalogs
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This notebook shows examples for the Parquet version of the AllWISE Source Catalog, located in AWS S3 cloud storage.
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It uses the tools: Pandas, PyArrow, Astropy
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```{toctree}
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maxdepth: 1
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tutorials/parquet-catalog-demos/wise-allwise-catalog-demo
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tutorials/cosmosims/CosmoDC2_Parquet
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```
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### Explore OpenUniverse 2024 Data Preview
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These notebooks explore simulared Roman observation stored in AWS S3 cloud storage.
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They use the tools: Pandas, Astropy, S3FS, matplotlib, NumPy
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```{toctree}
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---
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maxdepth: 1
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---
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tutorials/openuniversesims/openuniverse2024_roman_simulated_timedomainsurvey
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tutorials/openuniversesims/openuniverse2024_roman_simulated_wideareasurvey
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```
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## Generally useful techniques
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tutorials/parallelize/Parallelize_Convolution
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```
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```

tox.ini

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# Ignore testing the tutorials listed in ignore_testing file
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!buildhtml: bash -c 'find tutorials -name "*.md" | grep -vf ignore_testing | xargs jupytext --to notebook '
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!buildhtml: pytest --nbval-lax --durations=10 tutorials
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!buildhtml: pytest --nbval-lax -vv --durations=10 tutorials
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buildhtml: sphinx-build -b html . _build/html -D nb_execution_mode=auto -nT --keep-going
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pip_pre =

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