Are you a Data Scientist who loves using Python and Jupyter Notebook but is having difficulty building performant analytics and machine-learning at scale? Don't despair - Teradata Vantage and Teradata Package for Python (teradataml) are here to help. They enable performant execution of complex analytics on large datasets, while using your favorite data science tools and language.
In this first episode of the Using Python with Vantage TechBytes series, Alexander Kolovos provides an overview of teradataml, then demonstrates how to connect to Vantage with teradataml as well as some other basic operations available.
Download Jupyter notebook used in the demonstration from a Teradata GitHub site: https://github.com/Teradata/techbytes-using-python-with-vantage