While R community continues to move ahead with RStudio (open source still), and other interfaces,
SAS is moving forward to embrace Jupyter in it’s free University Edition. The word Jupyter itself is made from Julia, Python and R. Note whether you are a R fan or Py fan or a SAS fan, you should compare and contrast the quality of blogs, the documentation and the interface on your own. As a blogger and data scientist (?) I actually love all science
Using Jupyter and SAS together with SAS University Edition
A few months ago I shared the news about Jupyter notebook support for SAS. If you have SAS for Linux, you can install a free open-source project called sas-kernel and begin running SAS code within your Jupyter notebooks. In my post, I hinted that support for this might be coming in the SAS University Edition. I’m pleased to say that this is one time where my crystal ball actually worked — Jupyter support has arrived!
(Need to learn more about SAS and Jupyter? Watch this 7-minute video from SAS Global Forum.)
https://support.sas.com/software/products/university-edition/faq/jn_runvirtualbox.htm
How do I run Jupyter Notebook in SAS University Edition using VirtualBox?
In order to run Jupyter Notebook in SAS University Edition, you must first add the SAS University Edition vApp to VirtualBox. When you specify the URL to run Jupyter Notebook, you must specify the port number for Jupyter Notebook.
- Follow the steps to add the SAS University Edition vApp to VirtualBox.
If you want to access files from or save files to your local computer from Jupyter Notebook in SAS University Edition, you must also set up a shared folder. For more information, see the following topics: - If you downloaded a new version in July 2016, the additional port is automatically added for you. Skip this step and proceed to step 3.
DECISION STATS 