Visualization in Python for Duke Data Scientists
A team of students will work with Duke’s Research Computing staff to develop interactive tools and workflows for analyzing and visualizing large datasets. The goal is to make Duke Research Computing resources more accessible to all disciplines and computational skill levels across campus. By creating and documenting exemplar workflows with tools such as HoloViz, Datashader, and Dask in JupyterLab notebooks, we will meet researchers’ needs for large scale visualizations and demonstrate how to take advantage of the research computing infrastructure, easing the transition from laptop-based analysis to large-scale high-performance computing techniques.
Read an article from Duke Interdisciplinary Studies featuring the team and one of the researchers they worked with, Ph.D. student Celine Robinson.
Student Project Managers/Facilitators