Showing entries tagged [python]

Unidata Python Mailing List

The Unidata Program Center has created a new mailing list for the users of Python in the Unidata community: python-users. The focus of the new list is questions and discussion around the Siphon and MetPy projects, although other topics relevant to the use of Python are welcome. For more information, please visit our mailing list page and look under "python-users".

Unidata Intern Wraps Up Summer Projects

Josh Clark

The Unidata Program Center's summer student intern Josh Clark has come to the end of his summer appointment. After a summer of widely varying projects, Josh gave an overview of his accomplishments to the UPC staff on July 31, 2015.

Josh graduated from the University of Northern Colorado in the spring of 2015 with a B.S. in Meteorology. After spending the summer at the Unidata Program Center, he is headed to the graduate program at San Jose State's Fire Weather Research Lab.

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AMS Short Course on Open Source Radar Software

AMS

An AMS Short Course on Open Source Radar Software will be held on the 13th of September 2015 in Norman, Oklahoma preceding the 37th Conference on Radar Meteorology. Preliminary programs, registration, hotel, and general information on the conference are available on the AMS conference web site.

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MetPy: An Open Source Python Toolkit for Meteorology

MetPy Skew-T plot

MetPy is an Open Source project aimed at providing a Pythonic library for meteorological data analysis that meshes well with the rest of the scientific Python ecosystem. The project heavily leverages the work already done by the Numpy, Scipy, and Matplotlib projects, and adds on top functionality specific to meteorology: plotting (e.g. Skew-Ts), calculations, and reading files (e.g. WSR-88D NIDS files).

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NHC Hurricane Tracks in Python

Florita Rodriguez writes:

I created this hurricane track IPython notebook for all to enjoy. This project was suggested to me by some Python enthusiasts here at Unidata and while I was familiar with IPython and its notebook feature, this was a great opportunity for me to explore the interactive use provided by IPython interactive widgets and how to create an interactive environment in which National Hurricane Center data could be visualized.

Read Florita's full posting over on the Unidata Developers' Blog.

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