In today’s analytics landscape, SAS programmers and data analysts often rely on multiple programming languages to perform analysis. This session demonstrates how Python, R, and SAS can work together seamlessly in the Viya environment as one analytical family. We will discuss the integration points of Python and R with Viya 4 as well as key features of the Python procedure, effective management of your Python and R environments, and troubleshooting tips. Look at generating analysis with Cloud Analytics Services (CAS) using Python and R and explore various integration points. Take a look at the new and flexible SAS Viya Workbench and how it can expand and accelerate your ecosystem. Whether you are a SAS programmer or data analyst, you will discover that each language has a seat at the table under one unified roof.
Ever wondered how Python, R, and SAS can stop competing—and start working as one team? In this high-energy session, Chevelle Parker breaks down how these “siblings” come together in SAS Viya to share data, run code, and power analytics across a unified environment. You’ll see real examples of cross-language workflows, from executing Python inside SAS to moving data seamlessly between platforms and leveraging each language’s strengths. If you’re juggling multiple tools today, this session shows how to bring them under one roof—and make your analytics stack faster, smarter, and easier to manage.
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