Learn Python-AWIPS

Python-AWIPS expands the visualization and analysis options of AWIPS CAVE by bringing resources into Python, enabling the use of popular scientific tools such as SciPy, MetPy, and Cartopy. This module will introduce you to the basic concepts of working with this package to access, manipulate, and plot resources. 

Launch Course

Details

Intended Audience

• Atmospheric scientists, Earth Systems scientists
• New Python-AWIPS users, first-time Python-AWIPS users
• Introductory-level Python users

Learning Objectives 

1. Investigate available data types from EDEX using Python-AWIPS.
2. Make a data request to AWIPS EDEX.
3. Explore and manipulate the Python-AWIPS response object.
4. Plot data with Matplotlib and Cartopy.

Suggested Prerequisite Skills

• Launching Jupyter Notebooks on your computer
• Executing Python code in a Jupyter Notebook
• Introductory-level Python programming 
  • Variable assignment, executing functions, indexing and slicing
  • Importing packages

Author

NSF Unidata

Rhoen Fiutak, NSF Unidata summer 2022 intern

Format

Self-Paced eLearning

Duration

1 hour

Technical Requirements

• A free NSF Unidata eLearning account
• A supported web browser
• Python-AWIPS using the Source Code with Examples Install instructions. 
  • Note that this requires git on your machine. 

Last Update

September 2022

Contact

support-eLearning@unidata.ucar.edu