Marco Gorelli
Marco is the author of Narwhals, core contributor to pandas and Polars, and works at Quansight Labs as Senior Software Engineer. He also consults and trains clients professionally on Polars. He has also written the first Polars Plugins Tutorial and has taught Polars Plugins to clients.
He has a background in Mathematics and holds an MSc from the University of Oxford, and was one of the prize winners in the M6 Forecasting Competition (2nd place overall Q1).
Sessions
Suppose you want to write a data science tool to do feature engineering. Your experience may go like this:
- Expectation: you can focus on state-of-the art techniques for feature engineering.
- Reality: you keep having to make you codebase more complex because a new dataframe library has come out and users are demanding support for it.
Or rather, it might have gone like that in the pre-Narwhals era. Because now, you can focus on solving the problems which your tool set out to do, and let Narwhals handle the subtle differences between different kinds of dataframe inputs!