@inproceedings{0b5d0159d8e64ccc905b6bb3b94faae2,
title = "Python and pipelines: Python interfaces for ESO{\textquoteright}s CPL & HDRL data reduction libraries",
abstract = "The ESO Common Pipeline Library (CPL) and High Level Data Reduction Library (HDRL) together form a comprehensive, efficient and robust software toolkit for data reduction pipelines. They were developed in C for reasons of efficiency and speed, however, with the community{\textquoteright}s preference towards Python for algorithm prototyping and data reduction, there is a need for access from Python. PyCPL and PyHDRL provide this, making it possible to run existing CPL data reduction recipes from Python as well as developing new recipes in Python. These new recipes are built using the PyCPL and PyHDRL libraries, which provide idiomatic Python interfaces to CPL and HDRL while allowing users to take advantage of the scientific Python ecosystem. PyCPL and PyHDRL are already being used to prototype recipes for the MAVIS instrument pipeline, and have been used to develop an extensible pipeline development framework. Here we describe their design, implementation and usage.",
keywords = "CPL, data reduction pipeline, HDRL, pybind11, PyCPL, PyHDRL, Python bindings, scientific Python",
author = "Anthony Horton and Anthony Heng and Aidan Farrell and Mrunmayi Deshpande and Brent Miszalski and Nuwanthika Fernando and Nuria Lorente and Ralf Palsa and Lars Lundin and Armin Gabasch",
year = "2024",
doi = "10.1117/12.3019678",
language = "English",
isbn = "9781510675254",
series = "Proceedings of SPIE",
publisher = "SPIE",
pages = "131013Q--1--131013Q--4",
editor = "Jorge Ibsen and Gianluca Chiozzi",
booktitle = "Software and Cyberinfrastructure for Astronomy VIII",
address = "United States",
note = "Software and Cyberinfrastructure for Astronomy VIII 2024 ; Conference date: 16-06-2024 Through 21-06-2024",
}