Next Steps with R and GitHub
Explore how to leverage GitHub features to enhance collaboration and project management in R data science projects. Learn about issues for tracking bugs and tasks, project boards to organize workflows, wikis for documentation, and integrations that streamline coding and testing. This lesson helps you understand the tools available to support teamwork and maintain code quality.
We'll cover the following...
In this lesson, we’ll discuss some additional features in GitHub. We won’t delve into the specifics of how to use them; this is left to the reader. However, we’ll lay out what’s available so we know where to look for the tools we’ll eventually need. These features are mostly focused on project management. While Git itself allows us to track changes and collaborate with others, GitHub adds a layer of project management functionality that’s especially beneficial for data scientists who work in teams.
Through the GitHub website, we can access several features that make it easy to collaborate on a project with multiple people, such as issues, project boards, wikis, actions, and integrations. These features are particularly useful for data ...