  PyCPL provides full access to ESO's Common Pipeline Library ( CPL) for
astronomical data reduction within a Python environment. Not only does it offer
a Python interface to the robust CPL library, but it also lets users and
developers fully utilise the rest of the scientific Python ecosystem. We have
written a C++ layer to CPL and with pybind11 (a third-party library) created a
Pythonic API to CPL. Since CPL has been around for so long, it has been
thoroughly tested and understood. In 2003 it was developed in C due to its
efficiency and speed of execution. With the community however moving away from
C/C++ programming and embracing Python for data processing tasks, there is a
need to provide access to the CPL utilities within a Python environment. With
the latest version being released users can now install PyCPL to run existing
CPL recipes (written in C) and access the results from Python. It also provides
the ability to create new recipes in Python using the functionality provided by
CPL.
