FireWxPy is a user friendly, open source Python package to create visualizations of data specific to fire weather and fire weather forecasting, created by Eric J. Drewitz. The package is built to support a wide range of fire weather-focused visualizations for any state or GACC Region. Users can also create custom boundaries using latitude and longitude coordinates. Version 1.4.3, released February 1, 2025, allows users to create a variety of graphics, samples of which you can view in the full article.

Ana Castaneda Montoya

As part of my summer of 2024 internship I had the privilege of getting involved with some of NSF Unidata's Python projects. My work ranged from creating educational tutorials to adding new functionalities to existing libraries, enhancing the resources available to the community.

Registration is open for the 2024 Pythia Cook-off! This U.S. National Science Foundation-funded hackathon for Cookbook development will grow participants' Python coding, communication, collaboration, and educational development skills, while expanding the collection of Pythia Cookbooks for the open source, open science community. Pythia Cookbooks are crowd-sourced collections of domain-specific tutorials and exemplar workflows, building on existing Pythia Foundations tutorials. Cookbooks are supported by a rich GitHub-based infrastructure enabling collaborative authoring and automated health-checking to ensure reproducibility.

Jhamieka Greenwood

This summer, I had a fantastic time as a Unidata intern, strengthening my Python and data visualization skills. Even though my internship was fully remote, I was still able to have a great experience and attend many events at UCAR. My mentor, Thomas Martin, and the rest of the Unidata staff were very helpful and always available for guidance during my time with Unidata.