Grow your data science skills at posit::conf(2024)

August 12th-14th in Seattle


“Code smell” is an evocative term for that vague feeling of unease we get when reading certain bits of code. It’s not necessarily wrong, but neither is it obviously correct. We may be reluctant to work on such code, because past experience suggests it’s going to be fiddly and bug-prone. In contrast, there’s another type of code that just feels good to read and work on. What’s the difference? If we can be more precise about code smells and feels, we can be intentional about writing code that is easier and more pleasant to work on. I’ve been fortunate to spend the last couple years embedded in a group of developers working on the tidyverse and r-lib packages. Based on this experience, I’ll talk about specific code smells and deodorizing strategies for R.

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