Description
Data transformation pipelines can be built with a fast C++17 core while still exposing a Python interface.
It is useful for developers and data users who need efficient processing steps without giving up Python integration. Pipeline correctness depends on input assumptions, memory use, and transformation logic, so outputs should be validated against known data.