Accelerate Python* Performance

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Supercharge applications and speed up core computational packages with this performance-oriented distribution.

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Optimize performance with integrated libraries and parallelism techniques.


Explore the productivity benefits of a faster Python*.

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Who Needs This Product

High-Performance Computing (HPC) Developers

Accelerate compute-intensive Python computational packages like NumPy, SciPy, and scikit-learn.

Data Scientists and Analysts

Easily implement and scale performance-packed, production-ready algorithms for data analysis.

Domain Experts

Access immediate optimized performance. Non-programmers can just download, install, and go.

What’s New

This latest release offers great performance improvements including:

  • Support for Python 3.6
  • Performance accelerations: Scikit-learn with Intel® Data Analytics Acceleration Library (Intel® DAAL), fast Fourier transforms in SciPy and Numpy, universal functions (ufuncs) can use multiple cores and Single Instructions Multiple Data (SIMD), and neural network enhancements for pyDAAL
  • Tech preview: High-level Python API for Intel® DAAL

Release Notes

Commercial Support with Intel® Parallel Studio XE

Intel® Distribution of Python* is included in our flagship product, Intel® Parallel Studio XE. This powerful, robust suite of software development tools has everything you need to write Python native extensions: C and Fortran compilers, numerical libraries, and profilers. Help boost application performance by taking advantage of the ever-increasing processor core counts and vector register widths available in processors based on technology from Intel and other compatible processors. The 30-day trial includes online customer support.

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Priority Customer Support
New software purchases include free updates and confidential priority customer support for a year through our Online Service Center. Get direct access to our technical experts when you purchase Intel Distribution for Python with Intel Parallel Studio XE or Intel® VTune™ Amplifer.

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Key Specifications

  • Target OS: Linux*, Windows* 7 and later, macOS*
  • Versions: Python* 2.7 and 3.6
  • Package Management: Conda, pip
  • Compatible With: Microsoft Visual Studio*, PyCharm*
  • Python Packages: NumPy, SciPy, scikit-learn, pandas, matplotlib, Numba, Caffe, Theano, TensorFlow, OpenCV, Intel® Threading Building Blocks, pyDAAL, Jupyter, mpi4py, pip, and others.

More about pyDAAL

System Requirements