Showing entries tagged [python]

MetPy 1.2.0 Released

Version 1.2.0 of MetPy, a collection of tools in Python for reading, visualizing, and performing calculations with weather data, has been released. The project aims to mesh well with the rest of the scientific Python ecosystem, including the Numpy, Scipy, and Matplotlib projects, adding functionality specific to meteorology. This release includes a variety of new features and enhancements, as well a variety of fixes for issues encountered by users.

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Introduction to MetPy Virtual Workshop

MetPy Virtual Workshop

This event's registration is now closed.
Announcing the next offering of the Introduction to MetPy virtual workshop! This 4-hour interactive workshop is designed to introduce participants to the MetPy Python package and accessing data products made available by Unidata. If you or someone you know has an interest in getting started with MetPy workflows, this is an optimal place to start.

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MetPy 1.1.0 Released

Version 1.1.0 of MetPy, a collection of tools in Python for reading, visualizing, and performing calculations with weather data, has been released. The project aims to mesh well with the rest of the scientific Python ecosystem, including the Numpy, Scipy, and Matplotlib projects, adding functionality specific to meteorology. This release includes a variety of new features and enhancements, as well a variety of fixes for issues encountered by users.

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2021 MetPy Users Survey

The MetPy development team is looking for anyone who has used MetPy to take the 2021 MetPy Users Survey. The survey should only take approximately 5 minutes and is completely anonymous.

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Unidata Staff Teach MetPy at AMS Python for Climate and Meteorology Short Course

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Providing hands-on training in the use of scientific software is a key component of Unidata's service to the geoscience education and research community. Three members of the Unidata Program Center staff recently took part in teaching an American Meteorological Society Short Course on Python for Climate and Meteorology, held virtually over four half-day sessions March 2, 4, 9 & 11, 2021.

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