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Breakouts

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Lauren Anderson edited this page Aug 30, 2020 · 2 revisions

These will happen during the hacking sessions. These are informal discussions/tutorials that will be organized as we go. Do you have knowledge on a topic that we're not covering in the morning sessions? Would you like a chance to share this expertise with others during our unconference times? Sign up here with your name and topic, as well a time you’d like to facilitate. You don’t need to be an expert or have a polished presentation to run a break-out! They’re meant to be information, and from experience tend to be good-natured and a lot of fun. Do you have a request for a topic you’d like to learn more about? Use the same document to propose a break-out. Discuss with other participants in the #breakout-planning channel in Discord.

Previous years' breakouts:

Here are some of the breakouts that happened at the previous Astro Hack Weeks.

  • Collaborative document editing with Authorea and/or Overleaf - bring your half-written paper that you're tired of emailing back and forth or just come see a casual demo of how to make the most out of these tools Meredith Rawls

  • Introduction to Julia programming language, with a quick overview of the existing astronomical packages. Mosè Giordano

  • Advanced Bayesian inference methods: Large hierarchical models, graphical representation, and high-dimensional parameter inference with hybrid sampling (Gibbs, HMC, etc). Could become a tutorial on the Stan software package. Could also before a deep learning tutorial. Boris Leistedt

  • Gaussian processes for regression and emulation. Boris Leistedt

  • Intro to profiling python. From a question during the intro session: "is it faster to do x*x or x**2?", answer: don't assume, profile! (John Parejko)

  • TOPCAT and STILTS let you load, explore, and visualize tables easily both through a GUI and on the command line. (Tina Peters)

  • Intro to Julia programming language. Could be a brief overview or a more in-depth tutorial. Kyle Barbary

  • Breakout on visualization with D3 and MPLD3 Jake VanderPlas

  • Demo / Intro to Astropy - same as above, could be a brief overview or more in-depth. Adrian Price-Whelan

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