PyArrow Integrations

Arrow is designed to be both a framework and an interchange format.

Developers can use Arrow to exchange data between various technologies and languages without incurring in any extra cost of marshalling/unmarshalling the data. The Arrow bindings and Arrow native libraries on the various platforms will all understand Arrow data natively without the need to decode it.

This allows to easily integrate PyArrow with other languages and technologies.

• Integrating PyArrow with R
  • Invoking R functions from Python
  • Invoking Python functions from R
  • R to Python communication using the C Data Interface
• Integrating PyArrow with Java
  • Invoking Java methods from Python
  • Java to Python using pyarrow.jvm
  • Java to Python communication using the C Data Interface
• Using pyarrow from C++ and Cython Code
  • C++ API
  • Cython API
• CUDA Integration
  • CUDA Contexts
  • CUDA Buffers
  • Numba Integration