Brigitta Sipőcz
I am an astronomer turned Research Software Engineer. I work at Caltech/IPAC to build and improve tools, e.g. Python libraries and Science Platforms to provide ways to access data in the NASA/IPAC Infrared Science Archive. Prior to joining IPAC, I was DiRAC Fellow in the data engineering team at the Institute for Data Intensive Research in Astrophysics and Cosmology in Seattle. I am a developer and maintainer of several open-source astronomy libraries and their infrastructure (e.g. astroML, astroquery, astropy) and I very much enjoy contributing to upstream projects as well in the wider Scientific Python ecosystem. I have a keen interest in finding ways to make tools more sustainable. I am a fellow of the Software Sustainability Institute.
Session
This talk presents the publicly available AstroML Interactive Book project.
Utilizing astronomy examples and datasets, the book introduces a variety of statistical and machine learning tools using popular Python libraries such as AstroML, Scikit-learn, and Scipy.
We also showcase the development process and the infrastructure, which enables the collaborative and interactive nature of the book.
The infrastructure itself is built on open-source libraries from the Jupyter and Executable Books ecosystems and facilitates a sustainable pathway for updating the existing material and extending it with new content.