Marco Gorelli
Marco is a core dev of 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
Polars is a dataframe library taking the world by storm. It is very runtime and memory efficient and comes with a clean and expressive API. Sometimes, however, the built-in API isn't enough. And that's where its killer feature comes in: plugins. You can extend Polars, and solve practically any problem.
No prior Rust experience required, intermediate Python or general programming experience required. By the end of the session, you will know how to write your own Polars Plugin! This talk is aimed at data practitioners.
When it comes to dataframes, pandas is the go-to library for many people. Yet Polars is taking the world by storm, and so many data practitioners are curious about trying it out. There is a learning curve though, as Polars introduces some concepts which pandas users might not be familiar with. This talk will be a deep dive into one of those concepts (expressions) and will focus on how you can understand them from a pandas perspective.
Narwhals is an extremely lightweight and extensible compatibility layer between dataframe libraries, and it needs your help! An open source sprint is the perfect opportunity to make your first contribution to open source. The core maintainers of the Narwhals package will prepare a list of easy and accessible first issues to get started with, and will be present in this session to guide you to make your first commit to the package. This is the perfect opportunity to give back to the Python ecosystem, while having some fun.