Showing entries tagged [metpy]

MetPy 0.5.1 released

MetPy 0.5.1 has been released, addressing some issues in 0.5.0. For full release notes see the GitHub Release Page.

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MetPy 0.5.0 released

MetPy 0.5.0 has been released. This release has a wide collection of new features as well as minor bug fixes, including several contributions from our community. For full release notes see the GitHub Release Page. If you're using MetPy for publications, we also now have citation information.

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Python-Focused Software Training Workshop at University of Oklahoma

University of Oklahoma

The University of Oklahoma will be hosting a Unidata Regional Software Training Workshop April 27-28, 2017. Unidata software developers will be leading the Python-focused workshop, which will cover the use of the MetPy and Siphon packages in the context of atmospheric science. A basic familiarity with Python is assumed — check out the Unidata Online Python Training for a refresher.

Unidata holds regional workshops in part to facilitate easy access to software training for those who may not be able to travel to training workshops held at the Unidata Program Center in Boulder, Colorado. Attendance is explicitly not limited to OU students and staff; we encourage those within easy travel distance to consider attending.

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Check Out this Podcast with Unidata's MetPy Developers

Want to hang out with the MetPy developers, but can't make it to the Unidata Program Center? Crank up your podcast app and spend a pleasant hour with Unidata's Ryan May, Sean Arms, and John Leeman, who visited with host Tobias Macey of the Podcast.__init__ podcast last week.

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Python-Focused Software Training Workshop at Millersville University

Millersville University

Millersville University in Pennsylvania will be hosting a Unidata Regional Software Training Workshop April 6-8, 2017. Unidata software developers will be leading the Python-focused workshop, which will cover the use of the MetPy and Siphon packages in the context of atmospheric science and introduce the National Weather Service's Common AWIPS Visualization Environment (CAVE) along with Python tools for working with AWIPS data services. A basic familiarity with Python is assumed — check out the Unidata Online Python Training for a refresher.

Unidata holds regional workshops in part to facilitate easy access to software training for those who may not be able to travel to training workshops held at the Unidata Program Center in Boulder, Colorado. Attendance is explicitly not limited to Millersville students and staff; we encourage those within easy travel distance to consider attending.

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