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                  Get Blazing Fast Python Performance!   | 
                
                
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                      Whether you are a seasoned high-performance developer or a 
                  data scientist looking to speed up your workflows, the 
                  
                  Intel Distribution for Python powered by Anaconda 
                  delivers an easy-to-install, performance-optimized Python 
                  experience to meet even your most demanding requirements. 
                   
                  The all-included, out-of-the box distribution accelerates core 
                  Python packages including NumPy, SciPy, pandas, scikit-learn, 
                  Jupyter, matplotlib, and mpi4py. | 
                     
                   
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                  High-Performance Tools for Python 
                   
                  Supercharge all your Python applications on modern Intel 
                  platforms with Intel® Distribution for Python*.  
                   
                  The FREE Intel® Distribution for Python powered by Anaconda 
                  can be used as a drop-in replacement for your current Python 
                  environment to get high performance out of the box. Your 
                  Python applications immediately gain significant performance 
                  and can further be tuned to extract every last bit of 
                  performance using the Intel® VTune™ Amplifier.  | 
                
                
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                  Intel® VTune™ Amplifier XE for 
                  performance profiling of Python/C/C++
                   
                   
                  Available as part of the Intel® Parallel Studio XE 2017 
                  Cluster Edition, this performance analyzer accurately 
                  identifies obvious and non-obvious performance bottlenecks in 
                  your Python code with native extensions, with low overheads 
                  and line-level detail. 
                   
                  It provides efficient profiling techniques can help 
                  dramatically improving the performance of your Python* code by 
                  detecting time, CPU, and memory bottlenecks.  | 
                
                
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                  Learn More in a Free October 4 Webinar  | 
                
                
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                  This webinar 
                  highlights the significant performance speed-ups achieved by 
                  implementing multiple Intel tools and techniques for high 
                  performance Python on collaborative filtering methods 
                  benchmarked on the latest Intel® platforms.  
                   
                  A combination of performance profiling with Intel® VTune™ 
                  Amplifier XE, accelerated machine learning algorithms in 
                  Intel® Data Analytics Acceleration Library and Intel® 
                  Distribution for Python*, and enhanced thread scheduling, 
                  showcase the individual strengths and combined computation 
                  power to drive performance on large scale machine learning 
                  workloads.  | 
                
                
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