Klaviyo Data Science Podcast EP 60 | Books Every Data Scientist (and Software Engineer) Should Read (vol. 3)

This month, we return to a classic Klaviyo Data Science Podcast series: books every data scientist (and software engineer) should read. This episode focuses on the Clean * duology by Robert C. Martin, which teaches the principles of both clean code and clean architecture. We’ve brought on two senior engineers at Klaviyo who’ve learned, practiced, and developed their own opinions on the lessons in these books. Listen in to learn:How to use these books to level up your own skills and the skills of your teamWhy the book’s spiciest opinions make sense, and where you might disagree with them in practice What our panel’s deepest, most intimate thoughts on docstrings areFor more details, including links to these books, check out the ⁠full writeup on Medium⁠!