SASPy

Date: May 10, 2017 Version: 2.1.5

Binary Installers: http://github.com/sassoftware/saspy/releases

Source Repository: http://github.com/sassoftware/saspy

Issues and Ideas: https://github.com/sassoftware/saspy/issues

This project provides Python APIs to the SAS system. You can start a SAS session and run analytics from Python through a combination of object-oriented methods and Python magics.

• Overview
  • What is this?
  • Dependencies
  • Jupyter magics
• Installation and configuration
  • Installation
  • Configuration
    • sascfg.py details
    • STDIO
    • STDIO over SSH
    • IOM
      • Remote
      • Local
      • IOM to MVS SAS
• Getting started
  • Initial import
  • Start a SAS session
  • Load data into SAS
    • CSV
    • Pandas DataFrame
    • Existing SAS data set
  • Explore the data
    • List the variables
    • See the first observations
    • Summary of numeric columns
    • Basic bar chart
    • Basic histogram
    • Basic heatmap
  • Submit SAS code directly from Python session
  • Split the data into training and test
  • Build an analytical model
    • More about the target and input parameters
  • Evaluating model diagnostics
• API Reference
  • SAS Session Object
  • SAS Data Object
  • Procedure Syntax Statements
  • SAS Results
  • SAS Procedures
    • Utility
    • Machine Learning (SAS Enterprise Miner)
    • Statistics
    • Econometic and Time Series
    • Quality Control
• Advanced topics
  • Using Batch mode
  • Prompting
• Contributing new methods
  • Overview
    • Process
• Troubleshooting
  • Connection and configuration issues
    • Common diagnostics
    • STDIO
    • STDIO over SSH
    • IOM
  • Problems running code
    • My model didn’t run
• License
  • Apache 2.0

Index

• Index