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A Python interface to SAS

Project description

# SASPy

SASPy is a python module which allows python to connect to SAS 9.4 and run SAS code, generated by the supplied object and methods or explicitly user written, and returns results as text, HTML5 documents (via SAS ODS), or as Pandas Data Frames. It supports running analytics and returning the resulting graphics and result data. It can convert between SAS Data Sets and Pandas Data Frames. It has multiple access methods which allow it to connect to local or remote Linux SAS, IOM SAS on Windows or Linux (Including Grid Manager), local PC SAS, and, in the future, the Compute Service (SAS Viya micro service replacing IOM). It can run w/in Jupyter Notebooks, in line mode python or in python batch scripts. It is expected that the user community can and will contribute enhancements.

## Requirements

SASPy requires Python3.x or above. It also requires SAS 9.4 or above.

# Documentation

All of the doc, including install and configuration information can be found at [sassoftware.github.io/saspy](https://sassoftware.github.io/saspy/).

# Installation

SASPy can be installed via pip. This will pull down the latest PyPI package and install it.

pip install saspy

However, if that’s too easy, you can also download a specific release from [SASpy project releases page](https://github.com/sassoftware/saspy/releases), or just clone the repo and and instll from that. To install a given release, use the following, where the X.X.X is the release version you want.

pip install https://github.com/sassoftware/saspy/releases/download/vX.X.X/saspy.tar.gz

# Resources

[SASPy](http://github.com/sassoftware/saspy/)

[Python](http://www.python.org/)

[SASPy Documentation](https://sassoftware.github.io/saspy/).

Copyright SAS Institute

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