Cornell University’s Center for Advanced Computing together with Weill Cornell Medicine's Scientific Computing Unit, ITS, and Clinical and Translational Science Center are pleased to offer the 2023 Scientific Computing Training Series. 

An examination of some of the Python packages that support data visualization for various use cases, providing both a general discussion of capabilities and multiple code examples demonstrating specific functionality. This lecture will address the generation of both static images suitable for inclusion in publications and presentations, and interactive data visualizations useful for exploring complex datasets and steering computations. Packages examined include matplotlib, pandas, seaborn, plotnine, bokeh, plotly, and possibly others. Level: Introductory/Intermediate. Prereqs: Some familiarity with the Python language would be useful but is not required.