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Intel Distribution for Python

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Intel Distribution for Python

Product Availability:   In Stock

        You can:

  • Achieve faster Python* application performance—right out of the box—with minimal or no changes to your code.
  • Accelerate NumPy*, SciPy*, and scikit-learn* with integrated Intel® Performance Libraries such as Intel® Math Kernel Library and Intel® Data Analytics Acceleration Library.
  • Access the latest vectorization and multithreading instructions, Numba* and Cython*, composable parallelism with Threading Building Blocks, and more.
  • Intel Distribution for 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.



What’s New : 

This release offers many performance improvements, including:

  • Faster machine learning with scikit-learn key algorithms accelerated with Intel® Data Analytics Acceleration Library
  • The latest TensorFlow* and Caffe* libraries optimized for Intel® architecture
  • The XGBoost package included in the Intel® Distribution for Python (Linux* only)

Also replace what’s new in Intel Parallel Studio with below contents:

What’s New – 2019 version :
  • Boost application efficiency and performance for Intel Core and Xeon processors with new and enhanced capabilities in compilers, performanc libraries, and analysis tools. Vectorize and thread your code (using OpenMP*) to take full advantage of the latest SIMD-enabled hardware, including Intel AVX-512. Accelerate diverse workloads across enterprise to cloud, and HPC to AI.
  • Improve performance through greater scalability and reduced latency with next-generation Intel MPI Library.
  • Interactively build, validate, and visualize parallel algorithms with Intel Advisor’s Flow Graph Analyze.
  • Faster machine learning with Python and scikit-learn* in Intel Distribution for Python.
  • Enhanced roofline analysis capabilities and simplified application profiling workflow with a new intuitive user interface in Intel VTune Amplifier.
  • Stay up-to-date with industry standards and IDEs including full C++14 and expanded C++17; full Fortran 2008 and substantial Fortran 2018 support; full OpenMP* 4.5 and Initial OpenMP 5.0 draft; Python 2.7 and 3.6; and Microsoft Visual Studio* 2017 integration.