What type of notebooks are used in the Oracle Data Science Platform?

The Oracle Data Science Platform primarily utilizes Jupyter Notebooks, which are widely known for their flexibility and capability to support a mix of code execution, text, and visual output. Jupyter Notebooks allow data scientists to create and share documents that contain live code, equations, visualizations, and narrative text. This makes them particularly valuable for data exploration, analysis, and presenting results in a clear and interactive format.

Jupyter Notebooks support multiple programming languages, including Python and R, which enhances their adaptability to various data science workflows. The integration of Jupyter with the Oracle Data Science Platform allows users to leverage powerful computational tools while also benefiting from the collaborative features of the platform, such as version control and project management.

Other notebook types, such as R Notebooks and specific Python Notebooks, may be used within specialized environments, but Jupyter Notebooks are the standard in the Oracle context, providing a comprehensive solution for data science tasks.