Data science projects deal with a lot of code, so data scientists need to use source version control (SVC) systems such as Git as a mandatory component. The most obvious way of using Git is to employ a code collaboration platform such as GitLab or GitHub. Those platforms provide ready-to-use Git servers, along with useful collaboration tools for code reviews and issue management, making working on shared projects easier. Such platforms also offer integrations with CI/CD solutions, creating a complete and easily configurable software delivery pipeline. GitHub and GitLab are free to use, and GitLab is available for on-premises installations, so there is no excuse for your team to miss the benefits of using one of those platforms.
Many teams synonymize Git with one of the popular platform offerings, but it is sometimes useful to know that it is...
