Welcome to GreenplumPython’s documentation!

Presentation

GreenplumPython is a Python library, precisely it builds an API that allows the users to manipulate Greenplum Database with Python without exporting the data to his local machine. Python users can indeed proceed with Greenplum’s interactive analysis performance and distributed environment without deep knowledge of SQL.

There are explanations about the implementation and examples.

Contents:

• Requirements
  • On Client
  • On Server
• Requirements on Server for Advanced Features
  • Using Non-Built-in Modules in a UDF
  • Defining Classes and Functions Outside UDFs
  • Creating and Searching Embeddings (Experimental)
  • Uploading Data Files from Localhost (Experimental)
  • Installing Python Packages (Experimental)
• Tutorials
  • Comparison with SQL
  • Comparison with pandas
  • Predicting the age of abalone with Linear Regression
  • Generating, Indexing and Searching Embeddings (Experimental)
  • Installing Python Packages on Server without Internet (Experimental)
• Module References
  • Database
  • DataFrame
  • Expression
  • Column
  • Row
  • Function
  • Builtins Functions
  • Type
  • Grouping
  • Ordering
  • Operators and Indexes
  • Embedding
  • Pandas-Compatible DataFrame
  • Configuration