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Reminder: NSF Unidata 2025 Community Equipment Awards

06 March 2025

NSF Unidata offers computer equipment grants to support a variety of projects

Proposals for the 2025 NSF Unidata Community Equipment Awards are due by March 28, 2025. Created under the sponsorship of the U.S. National Science Foundation, NSF Unidata equipment awards are intended to encourage new members from diverse disciplinary backgrounds in the Earth Systems Sciences to join the NSF Unidata community, and to encourage existing members to continue their active participation, enhancing the community process. For 2025, a total of $100,000 is available for awards; proposals for amounts up to $20,000 will be considered.

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AWIPS Tips: Python-AWIPS Release v23.1

19 February 2025

We are happy to announce a new version of python-awips (v23.1) is available! This version is available via source code (with all example notebooks) or via mamba (conda) and pip. Please see our main documentation page for installation instructions.

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Posted by Tiffany Meyer [ Comments [0] ]

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AMS 2025 Conference Highlights from the NSF Unidata Staff

12 February 2025

This year's annual American Meteorological Society meeting was held 12-16 January 2025 in New Orleans, LA. Several NSF Unidata staff members were able to travel to New Orleans to visit with students, present papers and posters, and otherwise take part in the conference. As always, staff members spent some time meeting with community members at UCAR's exhibit hall booth. Read on for some of the conference highlights from the perspective of NSF Unidata staff.

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FireWxPy: A Python Package For Fire Weather Analysis And Forecasting

11 February 2025

FireWxPy is a user friendly, open source Python package to create visualizations of data specific to fire weather and fire weather forecasting, created by Eric J. Drewitz. The package is built to support a wide range of fire weather-focused visualizations for any state or GACC Region. Users can also create custom boundaries using latitude and longitude coordinates. Version 1.4.3, released February 1, 2025, allows users to create a variety of graphics, samples of which you can view in the full article.

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Book Review - StatQuest Guide to Neural Networks

10 February 2025

The StatQuest Illustrated Guide to Neural Networks and AI: With hands-on examples in PyTorch!!! strikes an excellent balance between accessibility and technical depth. Josh Starmer, PhD, builds on his previous work while making neural networks approachable for both students and practitioners. This book has a similar feel and vibe to the previous book, The StatQuest guide to Machine Learning.

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