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. 

Humans generate messy data. While statistics-focused environments like R and Stata are great for data analysis, these specialized tools can be difficult to use with data that defies tabular representation. Human data, like written language, social relationships, images, and social media content, require flexible tools that can handle complexity. In this talk, we will provide an overview of Python, highlight how this free and open-source programming language supports digital humanities and social science research, and discuss Cornell and web-based resources to help you get started using Python in your research. Level: Introductory. Prereqs: Some experience working with tabular data formats or spreadsheet software is helpful but not required.