Python continues to grow as the premier programming language for processing data within research, education, and industry across the atmospheric sciences. Understanding how to apply Python to unique scientific and data needs is crucial for all stages of geoscience. An ecosystem of scientific Python libraries build upon each other and share a broad, interdisciplinary open source community. Within this ecosystem, MetPy is developed to support domain- and data-specific workflows spanning entire projects across the varied field of meteorology and atmospheric science. From remote data access and file reading to calculation and visualization, MetPy and the scientific Python ecosystem enable and enhance science for all levels of users.

This course is designed to empower learners to work more efficiently and with more confidence as they navigate this ecosystem, a variety of meteorological data formats (file types, access pathways, etc.), and data domains (eg surface/upper-air observations, gridded data, satellite imagery, radar data, etc.)

This course relies on synchronous, interactive sessions powered by Jupyter Lab. Live coding, errors to troubleshoot, and problem solving exercises will be featured for this workshop.

January 8, 2023 at 9:00 AM - 3:45 PM Mountain Time (In Person) - Colorado Convention Center: Room 506

Registration close date:	December 29, 2022
Participant cap:	None

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Course Description:

In this course participants will learn to:

• Apply and contrast Python tools, data pathways, and challenges across multiple meteorological data formats and domains
• Find and choose appropriate Python, MetPy tools for working with your own data
• Explore and test different Python plotting methods for visualization and communication
• Troubleshoot errors and complications shared across and unique to these workflows

VIEW AGENDA

If you have questions regarding the course, please contact Drew Camron.

Instructors: