Stephen McKay

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Code

Below, you'll find some projects I've worked on and some helpful resources.


Projects

You can check out my Github projects below:

  • My Github

Resources

Programming

  • Astropy tutorials
  • Jackie Champagne's Python tutorials (introductory)
  • Kate Whitaker's Astronomy Python tutorials
  • Python for Astronomers
  • Yuan-Sen Ting's Coding Essentials for Astronomers
  • Code/Astro Software Engineering Workshop resources

Machine Learning

  • Hands-on Machine Learning book by Aurélien Geron
  • Python Data Science Handbook by Jake VanderPlas (free online version)
  • NASA AI/ML interest group webpage
  • PyTorch tutorials
  • Dive into Deep Learning (free online book)

Astronomy Tools

  • Astronomy as a Field: A Guide for Aspiring Astrophysicists
  • CASA Guides for Radio Astronomy (NRAO)
  • SVO Filter Profile Service
  • Splatalogue emission line database
  • adstex, the best way to quickly manage citations

Data Analysis and MCMC

  • Probabilistic Programming and Bayesian Methods for Hackers
  • PyMC tutorials
  • A practical guide to Basic Statistical Techniques for Data Analysis in Cosmology
  • Computational Insights: From Data to Discovery (mostly helpful for links to other sites)
  • The Carpentries data and software carpentry lessons
  • Contact: sjmckay3 AT wisc DOT edu

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