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
