Due to the current gap in continued funding from the U.S. National Science Foundation (NSF), the NSF Unidata Program Center has temporarily paused most operations. See NSF Unidata Pause in Most Operations for details.
23 January 2017
MetPy version 0.4.3 has been released. This fixes a few more minor issues in the 0.4 series. For full release notes see here.
MetPy packages are available for Conda on the conda-forge channel, and for pip from the Python Package Index.
Let us know if you run into any problems, either at MetPy's issue tracker, or on the Unidata python-users list.
[Read More]21 November 2016
MetPy version 0.4.2 has been released. This fixes a few more minor issues in the 0.4 series. For full release notes see: https://github.com/Unidata/MetPy/releases/tag/v0.4.2
MetPy packages are available for Conda on the conda-forge channel, and for pip from the Python Package Index.
Let us know if you run into any problems, either at MetPy's issue tracker, or on the Unidata python-users list.
[Read More]07 November 2016
MetPy version 0.4.1 has been released. This fixes a few minor issues in the 0.4 release. Highlights of features added in the 0.4 release:
Unidata is looking for a Software Developer
18 October 2016
The Unidata Program Center is hiring! We are looking for a scientific software developer to join our team in creating and maintaining software and data services to support the geosciences.
As part of the University Corporation for Atmospheric Research (UCAR) in Boulder, CO, Unidata offers competitive salaries and great benefits. UCAR was selected as one of the Best Companies to Work For in Colorado. Simply put, Unidata is a great place to work. Unidata's team environment provides high levels of autonomy and responsibility with great opportunity to excel individually and contribute to the team's success.
[Read More]Unidata's Jupyter Notebook Gallery
07 October 2016
As part of an ongoing effort at the Unidata Program Center to bring Python-based workflows to the atmospheric science community, UPC developers have created the Unidata Jupyter Notebook Gallery to showcase tools and techniques that may be of interest to community members. The gallery is a collection of Jupyter notebooks that demonstrate ways to work with atmospheric science data using Python. The notebooks use a variety of tools available in the Python ecosystem, including several developed by Unidata.
[Read More]
All
Community
(446)
Jobs
(181)
Unidata
(210)
Data
(60)
News
(8)
Software
(0)
AWIPS
(130)
Decoders
(0)
GEMPAK
(18)
IDV
(49)
LDM
(17)
McIDAS
(14)
NetCDF
(142)
NetCDF-Java
(30)
RAMADDA
(6)
TDS
(44)
UDUNITS
(3)
Events
(23)
LDM-McIDAS
(1)
LibCF
(1)
NetCDF-Perl
(0)
Python
(20)
Rosetta
(1)
Cloud
(6)
MetPy
(45)
