This is a brief explaining how to get started using the Python modules available from this site.
How to Use Downloaded Python Modules
Published on / Updated on
- All Documentation
- Home
- SPSS on Github
- SPSS Statistics
- IBM SPSS Statistics 24 Documentation
- Programmability
- Extensions, Tools and Utilities for SPSS Statistics
- Submitting Extensions for SPSS Statistics
- Presentations on Programmability
- Extending and Customizing IBM SPSS Statistics with R, Python, and .NET
- Making Transparent Graphs
- How to Use Downloaded Python Modules
- Writing IBM SPSS Statistics Extension Commands
- Extension Bundles
- FAQ About Programmability
- The Two Programmability Modes
- Converting an IBM SPSS Statistics Job to a Python Job
- Connecting to IBM SPSS Statistics from a Launched Application
- Programming and Data Management Book
- Performance Best Practices
- SPSS Modeler
- SPSS Analytic Server
- SPSS C&DS
- White Papers
- Geospatial Analytics with IBM SPSS Modeler
- Seven reasons you need predictive analytics today
- Better decision making under uncertain conditions
- Real world predictive analytics
- Vendor Insight Customer analytics profile: IBM
- R and SPSS software: Everyone wins
- The Forrester Wave: Big Data Predictive Analytics Solutions
- SPSS Statistics and R together
- Top brochures
- developerWorks Articles
- Redbooks
- Bookmarks