Due to the current gap in continued funding from the U.S. National Science Foundation (NSF), the NSF Unidata Program Center has temporarily paused most operations. See NSF Unidata Pause in Most Operations for details.
Due to the current gap in continued funding from the U.S. National Science Foundation (NSF), the NSF Unidata Program Center has temporarily paused most operations. See NSF Unidata Pause in Most Operations for details.
Hi, John Leeman, Kevin Goebbert, and I are pleased to be offering a one-day short course on MetPy at the 2019 AMS Annual Meeting in Phoenix, AZ: Python for Synoptic Meteorology Using Metpy. The format of the course is like that of our larger Python workshop, relying on Jupyter notebooks to teach several core concepts. The crux of the course is to access remote data sets and use MetPy to perform analyses relevant to synoptic meteorology. The goal is to go beyond the traditional introduction to Python and work on some concrete, meteorology-specific problems. As a result, familiarity with Python, NumPy, and Matplotlib is assumed. The course will be held all-day (8:30am to 3:45pm) on Sunday, January 6th. For more information see: https://annual.ametsoc.org/index.cfm/2019/programs/short-courses-workshops/ams-short-course-on-python-for-synoptic-meteorology-using-metpy/ Ryan -- Ryan May, Ph.D. Software Engineer UCAR/Unidata Boulder, CO
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