Unidata/MetPy

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SUPPORT.md

Summary

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Test Coverage
# Support

We want to help you use MetPy and solve any challenges you encounter. There
are many ways to contact us:

## Help using MetPy

Need some help using MetPy to solve your problem? The MetPy development team is following all
of these, so you only need to pick one to share your problem. 😉

* [Stack Overflow](https://stackoverflow.com/questions/tagged/metpy): Ask a question using the
  "metpy" tag. This is the highly preferred option as it allows the community to benefit from
  answers to the questions, forming a readily-searched knowledge base. It's also likely to
  result in the quickest response, as not only are the MetPy developers watching, but
  community members can also chime in if they know the answer.
* [GitHub Discussions](https://github.com/Unidata/MetPy/discussions): Ask your question and
  have a discussion with members of MetPy's community. This is also a forum likely to result
  in a quicker response.
* [Unidata Python Support email](mailto:support-python@unidata.ucar.edu): Send an email to
  Unidata's Python support email address.
* [Gitter](https://gitter.im/Unidata/MetPy): text-based chat with the developers; sign in
  using GitHub or Twitter.
* [MetPy on Twitter](https://twitter.com/MetPy)
* [Unidata Python User’s Mailing List](https://www.unidata.ucar.edu/support/#mailinglists)

## Issues

Find a problem with MetPy? Looking for a feature we don't have? File an issue!

* [New Issue](https://github.com/Unidata/MetPy/issues/new/choose)
* [Current List of Issues](https://github.com/Unidata/MetPy/issues)

## Code of Conduct

We want everyone to feel welcome to contribute to MetPy and participate in discussions. In that
spirit please have a look at our
[`code of conduct`](https://github.com/Unidata/MetPy/blob/main/CODE_OF_CONDUCT.md).