DevOps for Data Science


Alex K Gold


In this book, you’ll learn about DevOps conventions, tools, and practices that can be useful to you as a data scientist. You’ll also learn how to work better with the IT/Admin team at your organization, and even how to do a little server administration of your own if you’re pressed into service.

This is the online version of the book. It is, and always will be, freely available here at \(\text{}\).

Should you want a print copy of the book, it is available for preorder.

Pre-ordered copies will ship in June.

About the author

Alex K Gold leads the Solutions Engineering at Posit, formerly RStudio.

In his free time, he enjoys landscaping, handstands, and Tai Chi.

He occasionally blogs about data, management, and leadership at: \(\text{}\).


Thank you to current and former members of the Solutions Engineering team at Posit, who taught me most of what’s in this book.

Huge thanks to the R4DS book club, especially Jon Harmon, Gus Lipkin, and Tinashe Michael Tapera, who read an early (and rough!) copy of this book and gave me amazing feedback.

Thanks to all others who provided improvements that ended up in this book (in alphabetical order): Carl Boettinger, Jon Harmon, Youngrok Lee, Rich Leyshon, Gus Lipkin, and Leungi.

Thanks to Randi Slack at Taylor & Francis and to Linda Kahn, who’s always been more than an editor to me. Thanks to Larry Gold for providing the wonderful cover art for the print version – along with so much more over the years.

Thanks to Eliot who cared enough about this project to insist he appear in the acknowledgments. Most of all, thanks to Shoshana for helping me live my best life.

Software information

This book was written using the Quarto publishing system and published on the web using GitHub Actions from rOpenSci.