Notebook Tutorials

These Jupyter Notebook tutorials demonstrate access methods and techniques for working with data served by IRSA. They cover topics like querying IRSA services, cloud access, Parquet catalogs, and general parallelization techniques.

Images

• Searching 2MASS Allsky Atlas Images (html) (ipynb)
• Searching AllWISE Atlas Images (html) (ipynb)
• Searching COSMOS Images (html) (ipynb)
• Searching Spitzer Enhanced Imaging Products (html) (ipynb)

These notebooks show how to query IRSA's image services, inspect the results, and download and visualize images. They use the tools: PyVO, Astropy.

Catalogs

• AllWISE Source Catalog (html) (ipynb)
• access examples for the Parquet version of the AllWISE Source Catalog, located in AWS S3 cloud storage
• tools: Pandas, PyArrow, Astropy
• CosmoDC2 Mock V1 catalogs (html)
• shows how to query IRSA's Table Access Protocol (TAP) service
• tools: PyVO

General

• Cloud Access Introduction (html) (ipynb)
• demonstrates basic access to the IRSA-curated datasets available in AWS S3 cloud storage buckets
• tools: Astropy, Pandas, PyArrow, PyVO, S3Fs
• General parallelization techniques (html) (ipynb)
• image convolution is used as an example computationally-intensive task
• tools: python multiprocessing, Dask, Ray