Teradata Package for Python Product Overview - Teradata Package for Python Product Overview - Teradata VantageCloud Lake

The Teradata Package for Python product combines the benefits of the open source Python language environment with the massive parallel processing capabilities of Teradata Vantage, which includes the Machine Learning Engine analytic functions and the Database Engine 20 in-database analytic functions. The Teradata Package for Python allows users to develop and run Python programs that take advantage of the Big Data and Machine Learning analytics capabilities of Vantage.

The Teradata Package for Python is teradataml, a Python library package like other open source Python packages. The package interface makes available to Python users a collection of functions for analytics that reside on Vantage, so that Python users can perform analytics with no SQL coding required. Specifically, the teradataml package provides functions for data manipulation and transformation, data filtering and sub-setting, and can be used in conjunction with open source Python libraries. The teradataml package uses SQLAlchemy and provides an interface similar to the Pandas Python library.

The Teradata Package for Python works over connections to:

• Vantage with Database Engine 20 and ML Engine
  Machine Learning Engine is a separate legacy engine that is not part of the current standard Vantage offer. If your system has the required ML Engine, you can find ML Engine Specific Settings and Examples here: ML Engine.
• VantageCloud Lake, VantageCloud Enterprise and VantageCore with Database Engine 20 only
  For this type of connection, only Database Engine 20 analytic functions are accessible.