In this episode, I chat with Alex Gold, who leads solution engineering and support teams at Posit. We talk about his new book ‘DevOps for Data Science’, and explore why DevOps principles are crucial for data scientists, even if you aren't working in hardcore production environments. Alex shares insights on how to think about putting your data science projects into "production"—whether it's a report for colleagues or a full-scale deployment. We discuss practical tips like using {renv} to manage package versions and ensure reproducibility, and Alex gives a live demo on setting it up in an R project. Tune in for key takeaways on making your data science work more robust, shareable, and ready for production.

Important resources mentioned:

• DevOps for Data Science: Buy the book here at 20% off using the discount code AFLY04. Check out the Github repo if interested.

Connect with Alex on:  

• X: @alexkgold
• LinkedIn: Alex Gold
• His website (alexkgold.space), where he occasionally blogs about data, management, and leadership.

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