Click “Launch” on either Jupyter Notebook or Jupyter Lab. You will be asked if you want to provide Anaconda with more information, you can choose whether you would like to do that or not. Once the download is complete, open Anaconda Navigator (no desktop icon will be created so you will need to find it on your machine). Follow Anaconda installation instructions, no modifications or changes to file paths should need to be made. To install the latest Python version (3.x), click the "Download" button. These instructions only cover the case where you have SAS installed locally, but please note that SAS University Edition already has built-in support for Jupyter Notebooks.ĭownload Anaconda to Access Jupyter Notebook and Jupyter LabĬlick on "Windows" at the top of the webpage. This article will walk you through the step-by-step process of installing Anaconda to access Jupyter Notebooks/Jupyter Lab and installing and configuring the SAS Kernel. Here's an example of what SAS Code can look like in these interfaces: This can be very helpful for learning and studying SAS programming. Jupyter Notebooks and Jupyter Lab both allow you to incorporate cells with Markdown with cells with executable code. The SAS Kernel SASPy allows you to program in SAS using Jupyter Notebooks and Jupyter Lab.
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