A hands-on introduction to major software tools and methods used across research and industry for hydrology and atmospheric science. We will take a project-based approach, learning software packages and best practices while building our own analysis for a real world problem. Major topics covered will include: Python for scientific computing, GitHub workflows and collaborative open source development, the basics of parallel and cloud computing, major data repositories and how to interact with them, and the basics of visualization. No prior coding experience is required.
Course Credits
3