Data Flow integration with Data Science integration with Data Science uses fully managed Jupyter Notebooks to enable data scientists and data engineers to create, visualize, collaborate, and debug data engineering and data science applications. You can write these applications in Python, Scala, and PySpark. You can also connect a Data Science notebook session to Data Flow to run applications. The Data Flow studio kernels and applications run on Oracle Cloud Infrastructure Data Flow.