This event's registration is now closed.
Announcing the next offering of the Introduction to MetPy virtual workshop! This 4-hour interactive workshop is designed to introduce participants to the MetPy Python package and accessing data products made available by Unidata. If you or someone you know has an interest in getting started with MetPy workflows, this is an optimal place to start.

Version 1.1.0 of MetPy, a collection of tools in Python for reading, visualizing, and performing calculations with weather data, has been released. The project aims to mesh well with the rest of the scientific Python ecosystem, including the Numpy, Scipy, and Matplotlib projects, adding functionality specific to meteorology. This release includes a variety of new features and enhancements, as well a variety of fixes for issues encountered by users.

The Unidata Program Center's three summer student interns — Lydia Bunting from Texas Tech University, Connor Cozad from the College of Charleston in South Carolina, and Isabelle Pfander from Willamette University in Oregon — have come to the end of their summer appointments. After a summer of dedicated work they presented the results of their projects to the UPC staff on July 28, 2021. You can find videos of their presentations to the UPC staff on the Unidata Seminar Series page.

Connor Cozad

by Connor Cozad
2021 Unidata summer intern

I spent this summer with Unidata contributing new features and improvements for version 1.1.0 of MetPy. This release is the first to introduce new features since 1.0 debuted in December 2020. I focused on enhancements to MetPy's declarative interface, which allows users to plot datasets on maps. These new capabilities provide greater control over map design and introduce support for plotting additional data formats.

Lydia Bunting

by Lydia Bunting
2021 Unidata summer intern

This summer I worked with the Unidata tech team on addressing the MetPy 1.1.0 milestones we prepared for it to update from version 1.0.0. Throughout this process of learning how to navigate GitHub and MetPy and how to implement new code, code verification and testing played a large role.