Speed Up Python* Performance to 100x (& More) with Intel® AI Tools

@IntelDevTools


Subscribe Now

Stay in the know on all things CODE. Updates are delivered to your inbox.

Sign Up

Overview

Learn how to supercharge Python* by using NumPy, SciPy, and pandas, which are all available through the Intel® AI Analytics Toolkit. Performance increases of 100 times (and more) can be achieved.

Using Intel® Developer Cloud as a platform, this workshop explores several NumPy aggregations, universal functions, broadcasting, and other techniques. It covers these topics:

  • Constructs that perform the same tasks as common Python loops and list comprehensions applications.
  • Universal function uses for fast and efficient time-series labels.
  • Complicated logic conditions that slow down the pandas Apply function.

Tune in to the experts' coding wisdom and launch swifter, more effective applications.

Skill level: Expert

 

Featured Software

Download the full package of AI tools as part of the Intel AI Analytics Toolkit.

 

Jump to:

You May Also Like
 

Intel® AI Analytics Toolkit

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

 

 

See All Tools