Is Python* Almost as Fast as Native Code? Believe It!

Overview

Wednesday, October 11, 2017 9 AM PDT

One of the biggest draws to Python* is that it’s easy to learn and use. But it’s also notorious for being too slow for high-performance, compute-intensive applications.

Intel® Distribution for Python* (FREE – get it here) addresses these fundamental performance challenges, delivering the speed of compiled languages with full optimization for a wide range of Intel® processors.

Join us to see Intel Distribution for Python in action, taking an application to the next level of performance using native libraries, performance analysis, and optimization of Python/C/C++ code. 

You’ll learn:

  • How to get the best of both worlds: C-like performance within the productivity of Python
  • The 3 steps to faster Python applications
  • Before and after performance improvements on an application, including how it was done.

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Product and Performance Information

1

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

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