
Vukan Jevtic developed and integrated a new calibration capability for LHCb flavour tagging within the conda-forge/staged-recipes repository, enabling enhanced data analysis for scientific computing workflows. He focused on Python and YAML to implement the calibration library and standardized the lhcb-ftcalib recipe configuration, improving environment stability and governance by refining dependency management and adding maintainers. His work included integrating LbEnv and ensuring compatibility with Python 3.10, which streamlined collaborative development and package management. Over the month, Vukan’s contributions addressed both technical and organizational aspects, resulting in robust, maintainable infrastructure for researchers relying on reproducible Python environments.
December 2025 monthly summary for conda-forge/staged-recipes. Focused on delivering a new calibration capability for LHCb flavour tagging and strengthening project governance and environment stability through recipe configuration improvements.
December 2025 monthly summary for conda-forge/staged-recipes. Focused on delivering a new calibration capability for LHCb flavour tagging and strengthening project governance and environment stability through recipe configuration improvements.

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