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SAS language support for Jupyter

Seamless SAS language execution within modern Jupyter workflows

An engineer uses Rapidminer SLC write, edit and execute SAS language code blocks with a Jupyter notebook.

How can data scientists and programmers streamline processes, enhance analytical capabilities and discover new insights faster? Digital solutions in data science are allowing users to combine the power of SAS, Python and R in a single, intuitive environment.

The Jupyter kernel within Rapidminer® SLC™ brings native SAS language support directly into Jupyter Notebooks.

Get this fact sheet, and find out how you can unify workflows, simplify deployment, boost analytics and achieve more flexible operations.

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