Unidata Python Training Workshop

Using Python to solve atmospheric science problems

View project on GitHub

2017 Regional Workshop at Millersville University

  • When: 6-8 April 2017
  • Where: Millersville, PA

Feedback

Let us know how we did and take the survey.

Thursday, April 6th

Time Section Material Presenter Length
9:00 Introductions and Overview   All 0:15
9:15 Software carpentry for science with git presentations/git Ryan 1:00
10:15 Break     0:10
10:25 Conda and package management presentations/conda John 1:00
11:25 Jupyter notebooks jupyter-examples John 0:40
12:05 Lunch     1:15
13:20 Primer Primer Ryan 0:30
13:50 Time Series Plotting Time Series Plotting Ryan 1:30
15:20 Break     0:10
15:30 Upper Air and the Skew-T Log-P Upper Air and the Skew-T Log-P John 1:30
17:00 End of day 1      

Friday, April 7th

Time Section Material Presenter Length
9:00 Review and Questions   All 0:10
9:10 Surface Data with Siphon/MetPy Surface Data with Siphon and MetPy Ryan 1:30
10:40 Break     0:10
10:50 Working with Satellite Data Working with Satellite Data John 1:30
12:20 Lunch     1:15
13:35 Accessing Model Data with Siphon/MetPy Siphon_Cartopy_MetPy_HRRR Ryan 1:30
15:05 Break     0:10
15:15 Command Line Tool Creation notebooks/command_line_tool John 1:30
16:45 Wrap up   All 0:20
17:00 End of day 2      

Saturday, April 8th

AWIPS CAVE:

  • CAVE Perspective overview (D2D and NCP)
  • Gridded forecast models, satellite and radar imagery
  • Point & upper air obs, hazards, NSHARP
  • Map projections and product bundles
  • GEMPAK Capabilities in AWIPS
  • AWIPS site and user localization
  • Python API data access in the cloud
  • Grid rendering with Matplotlib
  • BUFR UA and sounding plots with MetPy
  • Imagery and polygon plots (Cartopy & Shapely)