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This conference talk explores the development of a Prolog-Python interface designed to combine Prolog's deductive reasoning capabilities with Python's extensive libraries for data analysis and machine learning. Learn how the presenters implemented this interface using a three-step methodology: creating C++ classes that match Python classes, utilizing an interface generator to export relevant classes, and employing C code to convert between the two programming environments. The presentation demonstrates the practical application of this interface by enhancing an Inductive Logic Programming System with visualization capabilities and showing how to connect with a standard classifier. Delivered at the 27th International Symposium on Practical Aspects of Declarative Languages (PADL'25) conference, this 28-minute talk by Vitor Santos Costa and Miguel Areias from the University of Porto provides valuable insights for developers interested in bridging declarative and imperative programming paradigms.
