• Project Description

    The Data Science for Analytics for Water (DSAW) project aims to develop (1) an advanced object data model that maps common water-related data types to performant data structures within the object-oriented Python language and analytical environment, and (2) new packages for the Python programming language that integrate these performant data structures with the powerful data science capabilities available in Python, as well as advanced data access, collaboration, and data archival capabilities of HydroShare. 

  • Objectives
    1. ability to map common water-related data types to perfromant data structures within the object-oriented Python language and analytical environment. 
    2. develop new packages for the Python programming language that integrate these performant data structures with the powerful data science capabilities available in Python. 
  • Contact/Get Involved

    Please contact Jerad Bales at jdbales@cuahsi.org and Tony Castronova at acastronova@cuahsi.org with questions. 

  • Collaborators

    Utah State University, U.S. Geological Survey , University of Louisiana Lafayette