Running Notebooks the Ruby Way: From PoC to Production with RubyPyMill

RubyPyMill bridges the gap between Python notebooks and Ruby production systems by orchestrating Jupyter notebook execution through Ruby workflows. Instead of rewriting PoC notebooks, teams can use Ruby as a coordination layer to control Python execution, inject parameters, filter cells by tags, and integrate insights into reproducible pipelines without abandoning either language's strengths.