The AMS Short Course: A Beginner’s Course to Using Python in Climate and Meteorology will be held on 6-7 January 2018 preceding the 98th AMS Annual Meeting in Austin, Texas.
The application of object-oriented programming and other advances in computer science to the atmospheric sciences has in turn led to advances in modeling and analysis tools and methods. The open-source language Python has been at the forefront of the application of such advances, through general science packages such as scipy and matplotlib, as well as atmospheric science-specific projects such as PCMDI’s UV-CDAT and ESG end-user tools and NCAR’s PyNGL, resulting in a robust computing environment for all kinds of atmospheric science, including (but not limited to): modeling, time series analysis, air quality data analysis, satellite data processing, in-situ data analysis, GIS, visualization, gridding, model intercomparison, workflow integration, and very large (terabyte) dataset manipulation and access.
Still, to many atmospheric scientists, object-oriented programming in general, and Python in particular, seems mysterious and remote, and as a result, find the idea of learning Python to be daunting. Additionally, while a number of tutorials and other curricula exist to introduce a newcomer to Python, few are geared to the specific needs of atmospheric scientists. This course provides a gentle introduction to Python for the atmospheric scientist, specialized to the needs of the field. While we expect all participants will have basic programming experience—including basic knowledge of variables (integers, floats, strings), loops, conditionals (if/then), and functions—no other exposure to Python or object-oriented programming is assumed. If you are a moderately experienced Python programmer, this course will be a poor fit for you.
All attendees will need to bring a laptop (with power adapter) that has the Enthought Canopy Python distribution installed on it. Windows, Mac OS X, and Linux laptops are all acceptable; tablets are discouraged. Instructions for doing the required installations in advance of the course are available at http://www.johnny-lin.com/ams/begpy.shtml. Because the course is two days, to maximize learning value for students, there will be optional homework assigned at the end of day one that will be discussed the next day.
For more information please contact the instructor of the course, Dr. Johnny Lin, Computing and Software Systems Division, University of Washington Bothell, Bothell, WA and the Physics and Engineering Department, North Park University, Chicago, IL (email: email@example.com).
All short course/workshop attendees must register and wear a badge/ribbon. Short course/workshop registration is not included in the 98th Annual Meeting registration, and short course/workshop registration does not include registration for the 98th AMS Annual Meeting.