The MetPy development team is looking for anyone who has used MetPy to take the 2022 MetPy Users Survey. The survey should only take approximately 5-10 minutes and is completely anonymous.
[Read More]11 April 2022
The MetPy development team is looking for anyone who has used MetPy to take the 2022 MetPy Users Survey. The survey should only take approximately 5-10 minutes and is completely anonymous.
[Read More]06 April 2022
Version 1.3.0 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 fixes and minor updates, including dropping support for Python 3.7.
[Read More]24 January 2022
Version 1.2.0 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.
[Read More]Introduction to MetPy Virtual Workshop
02 September 2021
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.
09 August 2021
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.
[Read More]