Name: Git for the Unafraid: What they didn't teach you in Intro Git
Start: 2025-10-10T15:00:00-04:00
End: 2025-10-10T16:00:00-04:00

Version control is increasingly important for statisticians and data scientists, who frequently build complicated data pipelines and collaborate on code with large teams. Many students and practitioners have learned the basics of version control with Git: making commits, pushing and pulling, and perhaps merging changes. In this webinar we'll cover additional features of Git that are crucial for effective collaboration among teams, including branches, pull requests, and resolving conflicts. We'll also briefly introduce continuous integration, a technique that uses version control to automatically test and check code after every commit, and illustrate how this helps us build better code.

Sponsored by the Henry David Thoreau foundation.

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Alex Reinhart is an associate teaching professor of Statistics & Data Science at Carnegie Mellon University, where he has taught statistical computing, regression, and applied data analysis courses. For two years he worked with CMU's Delphi Group on COVID-19 response, including a period as co-leader of its software engineering team, coordinating numerous PhD students, faculty, and professional engineers developing data and forecasting pipelines.

Alex Reinhart 

Git for the Unafraid: What they didn't teach you in Intro Git

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Git for the Unafraid: What they didn't teach you in Intro Git

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