Marco Gorelli Explains How Narwhals Integrates Polars, DuckDB, PyArrow & pandas at PyData London 🐋

www.pydata.org

Polars, DuckDB, PySpark, PyArrow, pandas, cuDF: how Narwhals has brought them all together!

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!

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.