Ryan May
Ryan May is a software engineer and deputy director for the Unidata program, part of the University Corporation for Atmospheric Research (UCAR) Community Programs, working on Python software and training for the atmospheric science community. Ryan began his meteorology career pursuing a B.S. in Meteorology at the University of Oklahoma in 1999. In 2014, Ryan started at Unidata, exchanging working on radar meteorology for working on open source tools for meteorology in Python. Currently, he is the Python team lead at Unidata and a core developer of the MetPy and Siphon Python packages, as well as a member of the steering committee for matplotlib and the core team for Conda Forge.
![The speaker's profile picture](/media/avatars/rmay_2022_staff_photo_smaller_BsVGjKA.png)
Sessions
MetPy is an open-source Python package for meteorological and atmospheric science applications, leveraging significantly many other pieces of the scientific Python stack (e.g. numpy, matplotlib, scipy, etc.). With a focus on sustainability, Metpy extensively leverages GitHub Action to try to automate as much of the software development process as possible. Sustainability also extends to the growth of the community of developers, and we have been working to try to make that sustainable as well. Here we talk about our experiences, share our successes and lessons learned with trying to build a sustainable project.