Intel® Distribution for Python*

Powered by Anaconda

Accelerating Python* performance on modern architectures from Intel.

  • Get out-of-the-box performance that is closer to native code speeds.
  • Speed up data analytics with pyDAAL and parallelize Python workloads.
  • Manage packages and Jupyter Notebooks easily with conda, Anaconda Cloud, and PIP.

Accelerate HPC and data analytics with high-performance Python*.

Intel® Distribution for Python*, powered by Anaconda, gives you ready access to tools and techniques for high performance to supercharge all your Python applications on modern Intel platforms. 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. It integrates the powerful Intel® Math Kernel Library (Intel® MKL), Intel® Data Analytics Acceleration Library (Intel® DAAL) and pyDAAL, Intel® MPI Library, and Intel® Threading Building Blocks (Intel® TBB).

Configuration for Python Benchmarks

Multithreaded Python workloads can take advantage of multicore architectures from Intel using Intel TBB optimized thread scheduling and efficient communication with the Intel MPI Library.

Installing and managing your Python environment is made easy with the all-in-one installer from Intel or by installing packages from Anaconda Cloud using conda. Third-party packages can be installed with both conda and PIP.

Our close collaboration with Continuum Analytics* delivers seamless interoperability with the conda environment, and ensures the entire Python developer community has access to the best Python performance through Anaconda or through the Intel® Distribution for Python.

Use the Intel® Distribution for Python 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.

Intel® VTune™ Amplifier

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.

The Intel® Distribution for Python is available for free for Python 2.7.x and 3.5.x on OS X*, Windows* 7 and later, and Linux*.

Specs at a Glance

Processors Processors, coprocessors, and compatible products from Intel.
Languages and Version Python* 2.7 and 3.5.
Development Tools and Environments Conda*, conda-env, Jupyter* Notebook (IPython), Microsoft Visual Studio*.
Python Packages NumPy, SciPy, scikit-learn, pandas, matplotlib, Numba, tbb, pyDAAL, Jupyter, and others.
Operating Systems Linux*, Windows* 7 and later, and OS X*.
Availability All-in-one installer. Individual packages available through the Anaconda Cloud channel for Intel.
Support

Free forum support.

Commercial support with the purchase of all editions of Intel® Parallel Studio XE.

Related Products Intel® VTune™ Amplifier XE for performance profiling of Python/C/C++ 

For complete information, refer to the release notes.


Para obter informações mais completas sobre otimizações do compilador, consulte nosso Aviso de Otimização.