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.