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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.

Data Science
Programming in R

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