2022-08-31 –, HS 119
This is part of the maintainers track.
In this session, we want to share some updates on the DataFrame ecosystem: the DataFrame interchange protocol (https://data-apis.org/dataframe-protocol/latest/purpose_and_scope.html) and Arrow C Data interface (https://arrow.apache.org/docs/format/CDataInterface.html), and the integration of those interoperability protocols with different libraries. Further, we want to have an open conversation about challenges and requirements related to DataFrame interoperability and supporting multiple DataFrame libraries in projects.
In this session, we want to share some updates on the DataFrame ecosystem: the DataFrame interchange protocol (https://data-apis.org/dataframe-protocol/latest/purpose_and_scope.html) and Arrow C Data interface (https://arrow.apache.org/docs/format/CDataInterface.html), and the integration of those interoperability protocols with different libraries. Further, we want to have an open conversation about challenges and requirements related to DataFrame interoperability and supporting multiple DataFrame libraries in projects.
none of the above
Expected audience expertise: Domain –none
Expected audience expertise: Python –none
Abstract as a tweet –Interoperability in the DataFrame landscape: DataFrame API & PyArrow Update
