NetCDF operators (NCO) version 5.3.2

Version 5.3.2 of the netCDF Operators (NCO) has been released. NCO is an Open Source package that consists of a dozen standalone, command-line programs that take netCDF files as input, then operate (e.g., derive new data, average, print, hyperslab, manipulate metadata) and output the results to screen or files in text, binary, or netCDF formats.

The NCO project is coordinated by Professor Charlie Zender of the Department of Earth System Science, University of California, Irvine. More information about the project, along with binary and source downloads, are available on the SourceForge project page.

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Book Review - StatQuest Guide to Neural Networks

Book cover

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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Are We Preparing Earth Systems Science Practitioners for the Future?

UCAR logo

If you provide Earth Systems Science learning opportunities at the post-secondary levels or within the workforce, UCAR needs your input! UCAR would love to hear about any learning opportunities that you offer on emerging ESS capabilities — ranging from AI/ML and data management to relationship building, creativity, and more — that are needed in the workplace now and in the future. Help UCAR understand your priorities and any obstacles to providing education, training, and support for these capabilities.

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NSF Unidata Update: January 2025

In case you missed it — here's a recap of news from the NSF Unidata Program Center for the month of January, 2025.

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2025 DeSouza Award Nominations

Russell DeSouza

Do you know someone in the NSF Unidata community who has been actively involved and helpful to you and other NSF Unidata members? Perhaps this is someone who volunteers to assist others, contributes software, or makes suggestions that are generally useful for the community.

The NSF Unidata Users Committee invites you to submit nominations for the Russell L. DeSouza Award for Outstanding Community Service. This Community Service Award honors individuals whose energy, expertise, and active involvement enable the NSF Unidata Program to better serve the Earth Systems Sciences community. Honorees personify NSF Unidata's ideal of a community that shares ideas, data, and software through computing and networking technologies.

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News and information from the Unidata Program Center
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News and information from the Unidata Program Center

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