Jasmin Thiele developed a comprehensive tutorial for the apache/systemds repository, focusing on building movie recommender systems using Python and data science techniques. The tutorial covered key machine learning methods such as Cosine Similarity, Alternating Least Squares, and Linear Regression, providing end-to-end code examples and detailed documentation. Jasmin integrated the tutorial into the documentation’s Table of Contents, improving discoverability and onboarding for new users. The work emphasized reproducibility and practical application, enabling faster experimentation with the SystemDS Python API. This contribution addressed the need for accessible learning resources and strengthened the repository’s support for machine learning workflows in Python.