The setup is mostly the same whether you're running on Windows, Mac or Linux. You'll need to install a Python distribution that includes a Jupyter notebook component (like Anaconda) or else you'll have to install/configure that separately via Project Jupyter (check for instructions related to the distribution you have). Once you have the Jupyter notebook infrastructure, setting up SASPy is nearly the same on any OS. The connection to SAS OnDemand for Academics will require that you edit your SASPy config to point to your Java runtime location (ex: /usr/bin/java).
A video will premier soon (today!) was just published to show what you can do with Jupyter Notebook when connected to SAS OnDemand for Academics. Check it out on the SAS Users YouTube channel!
