Seamlessly Scale pandas Workloads with a Single Code-Line Change

pandas is a popular, easy-to-use, open-source Python* library for data analysis and manipulation. But it has distinct drawbacks, including that it wasn’t designed to analyze large datasets.

As a result, it can become slow, making it necessary for users to change their code or learn a new solution to scale their AI workloads.

Modin* solves these problems. As a drop-in replacement for pandas, this Python library can handle large datasets—whether 10 KB on a laptop or 10 TB on a cluster. This enables data scientists, analysts, and AI developers to scale their pandas API workloads by changing just one line of code.

Join this session to find out how, including a live demonstration that walks you through the tools and process.

This webinar showcases the Intel® Distribution of Modin*, part of the Intel® AI Analytics Toolkit—eight tools and frameworks to accelerate end-to-end data science and analytics pipelines.