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Posted 27 Feb 2019
Licenced CPOL

Get Started with Intel's Python Distribution on Windows

, 27 Feb 2019
Jeff shows you how to configure and start using Intel's Python distribution with Visual Studio Code. He also shows you some of the speed improvements included in the distribution.

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  • Improves the speed of common libraries and algorithms, especially data analytics.
  • New Optimizations in SciPy and NumPy packages provide speedups for scikit-learn
  • Leverages Intel Data Analytics Acceleration Library (Intel DAAL)
  • For some scikit-learn algorithms, performance increase by 140x!

Jeff does an install with the Intel Distribution and then runs a simple benchmark on his machine to see how much of a performance improvement we see by using Intel Thead Building Blocks.

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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About the Author

Jeffrey T. Fritz
Program Manager
United States United States
Jeff Fritz is a senior program manager in Microsoft’s Developer Division working on the .NET Community Team. As a long time web developer and application architect with experience in large and small applications across a variety of verticals, he knows how to build for performance and practicality. Four days a week, you can catch Jeff hosting a live video stream called 'Fritz and Friends' at twitch.tv/csharpfritz. You can also learn from Jeff on WintellectNow and Pluralsight, follow him on twitter @csharpfritz, and read his blog at jeffreyfritz.com

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