Achieve Data Science Productivity with Modin* and AI Optimizations

Published: 04/13/2022

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Intel sits down with cofounder and CTO of Ponder*—the data science startup behind Modin*—to discuss how this Python* library and the drop-in pandas replacement closes the efficiency gap in data wrangling, allowing data scientists to visualize large, complex datasets without changing a single line of code.

 

Melik Adamyan Areg

Devin Petersohn

 

 

 

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Accelerate end-to-end machine learning and data science pipelines with optimized deep learning frameworks and high-performing Python* libraries.
 
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Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.