Showing entries tagged [python]

Summer 2018 Unidata Interns Wrap Up Their Projects

Unidata 2018 Summer Interns

The Unidata Program Center's two summer student interns — Hailey Johnson from the University of Florida and Jon Thielen from Iowa State University — have come to the end of their summer appointments. After a summer of dedicated work they presented the results of their projects to the UPC staff on August 3, 2018. You can find videos of their presentations to the UPC staff on the Unidata Seminar Series page.

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Python-Focused Software Training Workshop at Jackson State University

Jackson State University

Jackson State University in Jackson, Mississippi will be hosting a Unidata Regional Software Training Workshop August 30-31, 2018. 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 Jackson State students and staff; we encourage those within easy travel distance to consider attending.

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MetPy 0.8 Released

MetPy 0.8.0 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.

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MetPy 0.7 Released

MetPy 0.7.0 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.

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AMS Short Course on Reproducible Atmospheric Science Workflows

AMS

Unidata community members Ivo Jimenez and Dr. Carlos Maltzahn from the University of California, Santa Cruz, along with Kevin Tyle from the University at Albany, will be presenting an AMS Short Course titled Reproducible Atmospheric Science Workflows Using Open Source Tools: An Introduction to the Popper Experimentation Protocol. The course focuses on an exciting new open-source toolset developed by researchers at UC Santa Cruz with specific tie-ins to reproducible workflows in atmospheric science modeling using the Weather Research and Forecasting model (WRF), both in research and the classroom.

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News and information from the Unidata Program Center

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