The 2016 UCAR Software Engineering Assembly (SEA) Software Engineering Conference and Tutorials (https://sea.ucar.edu/conference/2016) just wrapped up at UCAR's Center Green facility in Boulder, Colorado. The week long conference took place April 4–8, 2016, and focused on “Data Science for scientific disciplines.” Unidata staff were on hand, and on the final day, held a python tutorial titled “Visualizing meteorological data with Python: Use cases with Siphon and MetPy.” Over 40 people participated in the tutorial.
The tutorial was put together by Unidata staff members Ryan May and Sean Arms, and Unidata Users Committee member Kevin Goebbert, from Valparaiso University. The materials were based upon those given at the yearly Unidata python training workshop. The following topics were addressed at the workshop (linked to Jupyter Notebooks):
- Accessing and visualizing satellite data using Python
- Accessing and visualizing (including SkewT plots) remote High Resolution Rapid Refresh (HRRR) data
- Surface observations and python, including station plots in Python
Workshop Materials Online
As always, the training materials from this workshop are available online, including instructions for how to setup your computer to use Python for scientific data analysis. Details can be found on the Unidata python workshops’ page.
If you were unable to attend the 3 ½ hour SEA conference tutorial, no worries! You may be interested in attending the three day python focused workshop this fall (October 17–19), where we will go more indepth about topics relevant to scientific data access, analysis, and visualization. For more information on this yearly training workshop, please see https://www.unidata.ucar.edu/events/2016TrainingWorkshop/.
