Learn how to use DataFrames in Python for Oracle Database queries. New dataframe functionality in Oracle's python-oracledb driver makes it easy to work with libraries such as Apache PyArrow, Pandas, Polars, NumPy, PyTorch, or to write files in Apache Parquet and Delta Lake formats. Support for zero-copy dataframe interchange increases performance. In this session, you’ll see how to efficiently move data between Python and Oracle Database 26ai, enabling fast, scalable analytics and AI-powered workloads directly with your familiar Python tools.