KDnuggets 2 must-have tools for blazing fast Python performance

Intel has two must-have, highly optimized tools to help you get faster performance out of the box - with the least amount of effort.
Intel Python


It doesn't matter whether you're a beginner or a ninja. Every Python* developer working on compute-intensive workloads and large data needs better performance. Intel has two must-have, highly optimized tools to help you get faster performance out of the box - with the least amount of effort.

1
Intel® Distribution for Python* Powered by Anaconda*

This just-released distribution delivers a powerhouse of tools and techniques that accelerate your Python applications right out of the box. Data scientists can now easily access NumPy/SciPy/scikit-learn accelerated with Intel® Math Kernel Library (MKL), advanced data analytics with Intel® Data Analytics Acceleration Library (DAAL), Numba, Cython and more. Just use the Intel Distribution for Python as a drop-in replacement to your existing Python environment. Best of all, it's free.

2
Intel® VTune™ Amplifier, a Performance Analyzer

Performance tuning is a powerful yet underutilized technique for optimizing your application. Intel® VTune™ Amplifier accurately detects obvious and non-obvious performance bottlenecks in your code - at line level and with low overhead. Save time and guesswork with this highly efficient tool.

Learn More in a Free October 4 Webinar



See these amazing tools in action and learn how to accelerate the performance of a real-world Python application using collaborative filtering techniques to build a recommendation engine like Netflix or Amazon.

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