This video demonstrates the new features in PyIceberg 0.2.1.
For the demo, we use the docker-spark-iceberg setup that’s available here: https://github.com/tabular-io/docker-…
After spinning up the docker-compose setup, the Jupyter notebook will be available at http://localhost:8888/
The notebook PyIceberg – Getting Started.ipynb will guide you through how to read data into PyArrow, and then Pandas.
Lastly, we demonstrate how to query the Pandas dataset using DuckDB.
