MetPy Tutorial#
The NCAR/UCAR virtual Python Tutorial Seminar Series continues with a lesson on MetPy on February 9th at 1 PM Mountain Standard Time led by Drew Camron.
MetPy is a collection of tools in Python for reading, visualizing, and performing calculations with weather data. See the MetPy Documentation
The content for this seminar tutorial is hosted on the new Project Pythia Tutorials GitHub organization. Within the metpy-2022-02-09 repository
Bio#
Drew Camron works as a Python Developer with Unidata, one of UCAR’s Community Programs, where he serves as a maintainer for the open-source MetPy and Siphon projects along with Unidata’s collection of synchronous and asynchronous virtual Python learning resources. Throughout his education and profession, Drew has nurtured a long-running passion for using and supporting open source tools and seeks to make it easier for others to use and learn them along the way.
His cats are also known for making appearances during virtual presentations, so keep an eye out.
How-to-Run#
This tutorial is designed to be launched from Binder.
Click the “Launch Binder” button at the top level of the repository.
You may also download the tutorial from GitHub to run it locally:
Check your conda install with
conda --versionand if necessary install by following these instructions.Clone this repository by running
git clone https://github.com/ProjectPythiaTutorials/metpy-2022-02-09in your terminal.Still in the terminal, create a Conda environment from the
environment.ymlfile by first moving into themetpy-2022-02-09directory withcd metpy-2022-02-09and thenconda env update --file environment.ymlActivate your environment in the terminal with
conda activate pythia-metpy-tutorial.Test your installation by launching JupyterLab with
jupyter lab.
Sign Up#
If you would like to join the learnpython@ucar.edu Google group to be informed of updates and events in the seminar series, please do so by following this link and clicking “Join Group” next to the group name.