Achieve Data Science Productivity with Modin* and AI Optimizations

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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.

 

 

Scale Your pandas Workflow with Modin*—No Rewrite Required
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One-Line Code Changes Boost Data Analytics Performance
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Deliver Fast Python* Data Science and AI Analytics on CPUs
Read

Realize Up to 100x Performance Gains with Software AI Accelerators
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Scale Your End-to-End Workflows with Intel® Distribution of Modin*
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Steps to Optimize End-to-End Machine-Learning Workflows
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Optimize Data Science and Machine-Learning Pipelines
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Drive 2x Performance into Your scikit-learn* Machine-Learning Tasks
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An Open Road to Swift Dataframe Scaling
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Bridge Performance Abstraction Layers in Data Science
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The Future of Data Science is Supercomputers
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Intel® oneAPI AI Analytics Toolkit
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.