This allows you to move easily between Python and SAS in a single environment. From within a Python language notebook, you can inject your SAS program code and pull in SAS results.
These magic commands look almost just like SAS macro calls (imagine that!). The second way that you can run SAS code is by using special Jupyter 'magics' supported by the sas_kernel. nbextensions/showSASLog) that can show you the SAS log.
The most natural method is to create a new SAS notebook, available from the New menu in the Jupyter Home window and from the File menu in an active notebook:įrom a SAS notebook, you can enter and run SAS code directly from a cell: Within Jupyter, the sas_kernel provides multiple ways to access SAS programming methods. Visit the project on GitHub: sas_kernel by sassoftware If you want to learn more about Jupyter and see the SAS support in action, then you can watch the video here. My colleague Amy Peters announced this during a SAS Tech Talk show at SAS Global Forum 2016. With this new project on the /sassoftware page, SAS contributes new support for running SAS from within Jupyter Notebooks - a popular browser-based environment used by professors and data scientists. We've just celebrated Earth Day, but I'm here to talk about Jupyter - and the SAS open source project that opens the door for more learning.
