Apache Arrow has become a de-facto standard for efficient in-memory columnar data representation. Beyond the standardized and language-independent columnar memory format for tabular data, the Apache Arrow project also has a growing set of supplementary specifications and language implementations. This talk will give an overview of the recent developments in the Apache Arrow ecosystem, including ADBC, nanoarrow, new data types, and the Arrow PyCapsule protocol.

Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing, and is becoming the de facto standard for tabular data. This talk will give an overview of the recent developments both in Apache Arrow itself as how it is being adopted in the PyData ecosystem (and beyond) and can improve your day-to-day data analytics workflows.