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.

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.

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.

Students! Are you looking to make the transition to Python but unsure of where to start? Do you already know Python but want to see atmospheric science specific applications? Are you looking for data? If so, then please join us for a hands-on AMS Student Conference Python Workshop where beginners and experts alike will learn skills that enhance their ability to find, analyze, and explore data. All the workshop resources will be in the cloud, so no specialized local software installations are necessary. All you need is a laptop or tablet (a keyboard may be helpful) and a GitHub ID to participate.

Unidata developer Ryan May is a co-PI on a recently-awarded grant by the National Science Foundation's EarthCube program. The grant, which brings together collaborators from Unidata, NCAR's Computational & Information Systems Laboratory (CISL), NCAR's Climate and Global Dynamics Laboratory (CGD), and the University at Albany, SUNY, funds Project Pythia: A Community Learning Resource for Geoscientists.

Project Pythia aims to provide web-accessible training to help current and future geoscientists understand and use the ever-expanding volume of numerical scientific data. The project will leverage Jupyter Notebooks as the primary delivery mechanism for training examples, curricula, and as an interactive computing platform. The content for Project Pythia will be hosted on GitHub and maintained using an Open Development model that will facilitate and encourage contributions from a broad user community, as well as help ensure the long-term sustainability of the project.