Lynda – Github For Data Scientists

Learn how to get the most out of GitHub, not just as a code repository, but also as a resource for finding software and connecting with an engaged community
Version control is rapidly becoming an essential skill for data scientists. In this course, learn how to get the most out of GitHub, not just as a code repository, but also as a resource for finding software and connecting with an engaged community. Review foundational GitHub concepts, from how GitHub actually works, to key terminology, to how GitHub facilitates collaboration for data science projects. Learn how to effectively use repositories in GitHub, including how to create and clone a repository and resolve common merge issues. Plus, learn how to create a strong data science portfolio with GitHub, contribute to open-source repositories, and more.

RAPIDGATOR
https://rapidgator.net/file/1c6158b83e5e7732b39cd5df99876925/Lynda.Github.For.Data.Scientists.Bookware-KNiSO.part1.rar.html
https://rapidgator.net/file/91562ddcb3aad6734c95a559c721c990/Lynda.Github.For.Data.Scientists.Bookware-KNiSO.part2.rar.html

NITROFLARE
https://nitroflare.com/view/E853A8EBBD47172/Lynda.Github.For.Data.Scientists.Bookware-KNiSO.part1.rar
https://nitroflare.com/view/56E62450523FD97/Lynda.Github.For.Data.Scientists.Bookware-KNiSO.part2.rar