Siphon 0.6.0 Released

Siphon 0.6.0 has been released. This includes some bug fixes and improvements, including support for access to the University of Wyoming upper air data archive (ported from MetPy). For full release notes see the GitHub Release Page.

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Siphon 0.5.0

Siphon 0.5.0 has been released with API improvements as well as time-based filtering of datasets. Full releases notes are available on the GitHub Release page

Siphon packages are available for Conda on the conda-forge channel, and for pip from the Python Package Index.

Let us know if you run into any problems, either at Siphon's issue tracker, or on the Unidata python-users list.

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Get Involved in Python Development for the Geosciences!

You may have noticed that Unidata Program Center developer Ryan May spends a bit of his time evangelizing the use of the Python language in the atmospheric sciences. This week he appears over on Johnny Lin's PyAOS (Python for the Atmospheric and Oceanic Sciences) blog, weighing in on the future of AOS Python.

Ryan's post, titled “What's needed for the Future of AOS Python? Get Involved!,” lays out the case for widespread community involvement in AOS Python projects.

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Siphon 0.4.1 released

Siphon 0.4.1 has been released with fixes for some minor issues in 0.4.0, including various fixes for catalog parsing, as well as updated documentation. Full releases notes are available on the GitHub Release page

Siphon packages are available for Conda on the conda-forge channel, and for pip from the Python Package Index.

Let us know if you run into any problems, either at Siphon's issue tracker, or on the Unidata python-users list.

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Unidata’s Jupyter Notebook Gallery

Jupyter Notebooks

As part of an ongoing effort at the Unidata Program Center to bring Python-based workflows to the atmospheric science community, UPC developers have created the Unidata Jupyter Notebook Gallery to showcase tools and techniques that may be of interest to community members. The gallery is a collection of Jupyter notebooks that demonstrate ways to work with atmospheric science data using Python. The notebooks use a variety of tools available in the Python ecosystem, including several developed by Unidata.

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News and information from the Unidata Program Center

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