Name: astropy-workshop
Owner: The Astropy Project
Description: Materials for Astropy Workshop
Created: 2018-01-03 05:05:47.0
Updated: 2018-01-08 17:34:08.0
Pushed: 2018-01-08 20:49:28.0
Size: 60434
Language: Jupyter Notebook
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Workshop at American Astronomical Society Meeting #AAS231 in National Harbor, MD.
DATE: Monday, January 8
TIME: 8:30am - 5pm
LOCATION: RiverView Ballroom B
Please be sure your laptop is properly configured before the workshop by following the installation and setup instructions.
This could take as long as one hour depending on your current configuration and internet speeds. DO NOT WAIT UNTIL THE DAY OF THE WORKSHOP.
| Time | Topic | Presenter | |——————-|———-|———–| |8:30 | Continental Breakfast | | |8:30 - 9:00 | Install and config help, if needed | | |9:00 - 9:15 | Intro to Astropy and Code of Conduct | Erik Tollerud | |9:15 - 10:00 | Introduction to Python | Ellianna Schwab Abrahams | |9:50 | Last call on breakfast | | |10:00 - 10:30 | Astropy Units, Quantities, and Constants | David Shupe | |10:30 - 10:45 | BREAK | Coffee provided | |10:45 - 11:15 | Coordinates | Erik Tollerud | |11:15 - 12:15 | I/O: FITS and ASCII | Lia Corrales | |12:15 - 1:15| LUNCH | On your own | |1:15 - 1:45 | Astropy Tables| Erik Tollerud | |1:45 - 2:15 | Models | Megan Sosey | |2:15 - 2:45 | WCS and Images | David Shupe | 2:45 - 3:15 | BREAK | Snacks Provided | |3:15 - 4:00 | Photutils | Larry Bradley| |3:20 | Last call on snacks | | |4:00 - 4:15 | Astropy Communities | Erik Tollerud | |4:15 - 4:45 | Contributing to Astropy | Lia Corrales | |4:45 - 5:00 | Survey | Erik Tollerud |
This workshop covers the use of Python tools for astronomical data analysis and visualization, with the focus primarily on UV, Optical, and IR data. Data analysis tools for JWST are being written in Python and distributed as part of Astropy, a community developed Python library for astronomy, and its affiliated packages.
The workshop goals introduce you to the variety of tools which are already available inside the Astropy library as well as provide ample hands-on time during which you?ll be able to explore the science analysis capabilities which the greater Python environment and community provide.
We plan on accomplishing this with brief overview talks on the main tools followed by extended instructor guided tutorials
where you?ll be able to try them out for yourself and ask questions in the company of expert users and developers.
Some basic Python experience is highly recommended to be able to effectively participate in the exercises, but those without Python experience will still get much useful information about the capabilities for data analysis in Python and perhaps pick up some pointers on where they can get started learning more scientific Python and integrating it into their work flow.
If you would like to get a head start with the tools we will be concentrating on you can check out their documentation on readthedocs:
Other tools we can answer questions about but probably won't discuss explicitly:
We encourage you to submit any problems or questions you have either to this repository issue tracker.
Materials from past workshops can be found here: https://github.com/astropy/astropy-workshops