Michael Chow
I'm a data science tool builder at Posit, where I work on open source tools for data analysis (like siuba).
Previously, I worked as a consultant building out a data team for Caltrans (and love all things GTFS).
I received a Ph.D. in Cognitive Psychology from Princeton University, and am interested in what drives expert data science performance. This led me to build DataCamp Signal, adaptive tests of data science skill.
Sessions
User guides are the piece you often hit right after clicking the "Learn" or "Get Started" button in a package's documentation. They're responsible for onboarding new users, and providing a learning path through a package. Surprisingly, while pieces of documentation like the API Reference tend to be the same, the design of user guides tend to differ across packages.
In this talk, I'll discuss how to design an effective user guide for open source software. I'll explain how the guides for Polars, DuckDB, and FastAPI balance working end-to-end like a course, with being browsable like a reference.