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Hi, The MetPy team is pleased to announce the release of MetPy 1.0, MetPy's first release with a promised stable API, including greatly improved integration and use of xarray. This release also brings a new style and organization for the MetPy documentation, including a 1.0 upgrade guide. The extensive release notes and documentation links are: https://github.com/Unidata/MetPy/releases/tag/v1.0.0 https://unidata.github.io/MetPy/v1.0/ https://unidata.github.io/MetPy/v1.0/userguide/upgradeguide.html MetPy packages are available for Conda on the conda-forge channel, and for pip from the Python Package Index. https://anaconda.org/conda-forge/MetPy https://pypi.python.org/pypi/MetPy For questions and discussion, please visit our new GitHub Discussions page. You can also ask questions using the "MetPy" tag on Stack Overflow, and report any problems on the GitHub issue tracker. https://github.com/Unidata/MetPy/discussions https://stackoverflow.com/questions/tagged/MetPy https://github.com/Unidata/MetPy/issues Happy holidays! Ryan -- Ryan May, Ph.D. Software Engineer UCAR/Unidata Boulder, CO
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