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Discover how to leverage Java for data science learning through Jupyter Notebooks in this 46-minute conference talk from JavaOne 2025. Learn to create robust, beautiful, and cutting-edge notebooks using Java as an alternative to Python for data science, machine learning, and generative AI projects. Explore the capabilities of Jupyter Notebooks as a powerful learning environment while utilizing Java's strengths for data science applications. Gain practical insights into setting up and working with Java-based data science workflows, understanding how to build compelling notebooks that demonstrate Java's potential in the data science ecosystem. Access accompanying resources and code examples to implement the techniques discussed and start your own data science journey using Java and Jupyter Notebooks.
