To be a successful member of a data science team, you will need to be able to effectively collaborate with others. While this is true for nearly any practice, an additional challenge for collaborative data science is working on shared code for the same project. Many of the techniques for supporting collaborative coding involve writing clear, well-documented code (as demonstrated throughout this book!) that can be read, understood, and modified by others. But you will also need to be able to effectively integrate your code with code written by others, avoiding any “copy-and-pasting” work for collaboration. The best way to do this is to use a version control system. Indeed, one of the biggest benefits of
git is its ability ...
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