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This PyCon US talk explores the transition from Jupyter Notebooks to production-ready systems. Learn strategies for refactoring exploratory notebook code into robust, reproducible applications that run automatically. Discover essential tools and skills needed to productionize data science models and develop scalable data-heavy applications. Whether you're a data scientist looking to deploy models or a developer working with data-intensive systems, gain practical knowledge for smoothly evolving from experimental notebooks to enterprise-grade solutions in this 28-minute presentation.
