To best benefit from the program, participants are expected to have some experience with Python programming and with analysis of water data (e.g. time series and remote sensing analysis, vector mapping, modeling, etc.). Successful applicants will pay a $100 registration fee and be expected to cover lodging and travel expenses. Financial support may be available based on need. For those who do not know Python or wish to improve their skills, we are organizing a Software Carpentry workshop Feb. 7-8, 2019 on the University of Washington campus. There are no registration fees for this event. We will also provide guidance to participants on Python and other tools through self-guided study.