SASPy supports “pythonic” access to SAS, including:
- Data exchange between SAS and Pandas DataFrame objects.
- Python classes to access machine learning, econometrics, and other SAS capabilities.
- Python commands for statistics and visualization.
- Ability to submit any SAS program and retrieve data or ODS results in your Python environment.
Find all SASPy documentation, including install and configuration information is at sassoftware.github.io/saspy.
You can install SASPy using pip install. The following command will pull down the latest PyPI package and install it:
pip install saspy
You can also download and install a specific release or clone the GitHub repository and install from a local version.
Example Notebooks and use cases can be found at sassoftware/saspy-examples.
Sample Notebook Screenshots