DevOps for Data Science
Welcome!
This is the website for the book DevOps for Data Science, currently in draft form.
This book is very much still a work in progress.
The content is mostly here, but I am still rewriting, polishing, and rearranging.
Content is likely to move from section to section and chapter to chapter.
Links are likely to break.
Thanks for your patience.
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 website is (and always will be) free to use, and is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 license.
If you’d like a physical copy of the book, they will be available once it’s finished!
Software information and conventions
I used the knitr package [@xie2015] and the quarto package [@quarto] to compile my book.
Package names are in bold text (e.g., rmarkdown), and inline code and filenames are formatted in a typewriter font (e.g., knitr::knit('foo.Rmd')
). Function names are followed by parentheses (e.g., bookdown::render_book()
).
Acknowledgments
A lot of people are helping me write this book.
This book is published to the web using GitHub Actions from rOpenSci.
Color palette
Tea Green: CAFFDO Steel Blue: 3E7CB1 Kombu Green: 273c2c Bright Maroon: B33951 Sandy Brown: FCAA67