Achieve Data Science Productivity with Modin* and AI Optimizations

Get the Latest on All Things CODE

Sign Up
author-image

By

Subscribe: iTunes* | Spotify* | Google* | PodBean* | RSS

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 
Read

One-Line Code Changes Boost Data Analytics Performance 
Read

Deliver Fast Python* Data Science and AI Analytics on CPUs 
Read

Realize Up to 100x Performance Gains with Software AI Accelerators 
Read
 

Steps to Optimize End-to-End Machine Learning Workflows 
Watch

Optimize Data Science and Machine Learning Pipelines 
Watch

Drive 2x Performance into Your scikit-learn Machine Learning Tasks 
Watch

An Open Road to Swift Dataframe Scaling 
Listen

Bridge Performance Abstraction Layers in Data Science 
Listen

The Future of Data Science is Supercomputers 
Listen

AI Tools
Accelerate data science and AI pipelines—from preprocessing through machine learning—and provide interoperability for efficient model development.
 
Get It Now

See All Tools

 

Product and Performance Information

1

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