DevOps for Data Science
Welcome!
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.
Acknowledgments
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, Gus Lipkin, and Leungi.
Thanks to Randi Cohen at Taylor and Francis and to Linda Kahn, who’s always been more than an editor to me.
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 was published to the web using GitHub Actions from rOpenSci.