Python is a powerful tool for working with data, and makes the perfect partner to SAS to process data, particularly data that is obtained from online sources where programmers have developed open source Python code to connect to published APIs.
SAS has developed two tools to make working with Python easier for SAS programmers, without needing to know nearly any Python - and also made working with SAS easier for Python programmers who do not know SAS! In this paper, we explore these tools, as well as how to use SAS with Jupyter Notebooks, and show how to download some data from a few data sources.
This paper is aimed at an intermediate level programmer, but does not require particular SAS or Python knowledge and should be comprehensible to anyone. A basic understanding of using APIs to access data can be helpful but is not required.