An awesome list of resources for astronomers interested in Data Science. Everyone is invited to contribute by pull request.
- Books
- Blogs
- Popular Websites
- Courses
- Repositories
- Other
- Other Awesome Lists
- Contribute
- License
- Modern Statistical Methods for Astronomy by Eric D. Feigelson & G. Jogesh Babu. R scripts and datasets available for download from the website.
- Statistics, Data Mining, and Machine Learning in Astronomy by Željko Ivezić, Andrew Connolly, Jacob Vanderplas, and Alex Gray
- Python for Astronomers by Imad Pasha and Chris Agostino. Also interactive webpage and textbook.
- Machine Learning for Physics and Astronomy by Viviana Acquaviva. Notebooks and slide decks with resources available for download under the "Resources" tab.
- AAS Policy Blog Josh Shiode
- AstroBetter Kelle Cruz, Joanna Bridge and many other contributors
- astrobites The astro-ph reader's digest
- AstroWright Jason Wright
- Hogg Blog David W. Hogg
- gully Michael Gully-Santiago
- Statistical Modeling Columbia Andrew Gelman et al.
- Xi'An' OG Christian Robert
- Statistical Thinking Frank Harrell
- Statisticians React to the News
- Robert Kosara Visualization & communication
- Junk Charts Kaiser Fung
- Multiple Views visualization research explained
People who work in this space and are occasionally active on Twitter:
- Daniela Huppenkothen
- Dustin Lang
- Gautham Narayan
- Jake VanderPlas
- John Wu
- Joshua Bloom
- Josh Peek
- Marc Huertas-Company
- Michelle Ntampaka
- NOIRLab DataLab
- Peter Melchior
- Viviana Aquaviva
In the following, be critical, not all articles are written by specialists. Some are also experiements and others are just for fun.
- Towards data science
- Medium/Data Science
- Techradar
- devblogs/python Formerly Planet Python
- KDnuggests Machine Learning, Data Science, Big Data, Analytics, AI.
- Machine Learning Mastery by Jason Brownlee
- Unofficial Google Data Science
- TechXplore/ML
- Astronomaly A flexible framework for anomaly detection in astronomy.
- Rubin Observatory Tutorial Jupyter Notebooks for Data Preview 0
- STScI general Jupyter Notebooks
- STScI JWST Jupyter Notebooks showcasing pipeline and analysis tools via science use cases
- Tutorials for creating figures, tables, or other content by AAS Journals
- Astro Hack Week tutorial materials: 2015, 2016, 2017, 2018, 2019, 2020. Also see YouTube for recordings of some events: 2015, 2016, 2020
- Code/Astro Workshop Workshop materials by Jason Wang. A Software Engineering Workshop for Astronomy.
- ESCAPE data science summer school 2021 Materials on software development and open science by the European Science Cluster of Astronomy & Particle physics ESFRI research infrastructures project.
- Foundations of Astronomical Data Science Carpentries Curriculum
- Kavli 2019 Summer Program in Astrophysics Lectures by David Kirkby. Machine Learning in the era of large astronomical surveys.
- GROWTH Astronomy School 2019: a school on multi-messenger time domain astronomy
- Machine Learning and Statistics for Physicists by David Kirby. Material for a UC Irvine course offered by the Department of Physics and Astronomy.
- Analytical Methods and Applications to Astrophysics and Astronomy, Statistical and Applied Mathematical Sciences Institute (SAMSI), 2016
- Time Series Methods for Astronomy, Statistical and Applied Mathematical Sciences Institute (SAMSI), 2017
- Big Data Physics: Methods of Machine Learning by Gordon Richards at Drexel University; lots of useful links in the readme.
- Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca by Davide Gerosa
- Machine Learning for Physics and Astronomy (2022-2023) by Juan Rojo, Tanjona Rabemananjara and Ryan van Mastrigt
- Big Data in Astrophysics, Spring 2023 by Michael Coughlin and Jie Ding, University of Minnesota
- ASTR 596: Fundamentals of Data Science, Spring 2023 by Gautham Narayan, University of Illinois Urbana Champaign
- Astrostatistics, Vanderbuilt, Spring 2022 by Stephen R. Taylor
- La Serena School for Data Science, 2023
- Astronomy Commons GitHub Org Software Infrastructure for Science Platforms and Scalable Astronomy on Cloud Resources
- NOIRLab DataLab GitHub Org Resources for working with the NOIRLab archives, including Jupyter Notebooks.
- SDSS
- Deep Skies A community that fosters knowledge transfer for the accelerated application of artificial intelligence to astronomical challenges.
- ML Club An online discussion on Machine Learning for astrophysicists. Slides and recordings of events from 2018 to 2021. Currently on hiatus.
- awesome-datascience
- awesome-astronomy by Jonathan Sick
- awesome-awesome
- awesome-awesomeness per coding language
- sindresorhus/awesome The original
- The Warren
Contributions welcome! Read the contribution guidelines first.
See LICENSE.