Is Python* Almost as Fast as Native Code? Believe It!
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.
- 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
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.