DO4DS: Lab Solutions

DevOps for Data Science: Lab Solutions

Author

Martin Frigaard

Published

2025-11-19

Welcome!

Welcome to my lab solutions for Alex K Gold’s DevOps for Data Science.

If you’d like a print version of the book, it’s available as part of Chapman & Hall’s R Series.

Praise for do4ds

I discovered DevOps for Data Science (do4ds) by Alex K Gold just as I was starting a new position as a Posit System Administrator with CDC’s Enterprise Data, Analytics, and Visualization (EDAV) platform.1 I’d spent the last 15 years as an R programmer/Shiny developer, but as a System Admin, my responsibilities now included (but were not limited to) maintaining, monitoring, updating and improving the Posit services for CDC users.

“If there’s a book that you want to read, but it hasn’t been written yet, then you must write it.” - Toni Morrison

do4ds was ~90% of the book I wanted to read, and completing the lab solutions allowed me to address the remaining 10%.

Other great resources

I also regularly checked and referenced additional topics from the following resources:

  1. The Linux Command Line by William Shotts
  2. How Linux Works: what every superuser show know by Brian Ward
  3. The Linux programming interface: a Linux and UNIX system programming handbook by Michael Kerrisk.

  1. EDAV houses multiple enterprise data science products (Databricks, Power BI, Tableau, SAS Viya, etc.), including Posit Workbench, Connect, and Package Manager. Read more about EDAV and the Data Modernization Initiative.↩︎