Intel® Distribution for Python* – Highlights & Overview

Released in September 2016, the Intel® Distribution for Python* has been hugely instrumental in helping developers create Python* applications that run nearly as fast as native code.

And as developer products specialist Sergey Maidanov discusses here … the progress continues.

Learn about the myriad performance optimizations and enhancements included in the latest release, including:

  • NumPy and SciPy performance optimizations with Intel® Math Kernel Library
  • Scikit-learn optimizations with Intel® Data Analytics Acceleration Library
  • NumPy memory optimizations and composable parallelism opportunities with Threading Building Blocks

All in less than 5 minutes.

Be sure to download the libraries. Not only are they free, they’re part of five Intel® Performance Libraries that you can download now. So do it.


Performance varies by use, configuration, and other factors. Learn more at