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Intel® Distribution for Python*

Achieve near-native code performance with this set of essential packages optimized for high-performance numerical and scientific computing.

High-Performance Python

The Intel® Distribution for Python* provides:

  • Near-native performance through acceleration of core numerical and machine learning packages with libraries like the Intel® oneAPI Math Kernel Library and Intel® oneAPI Data Analytics Library
  • Support for the latest CPU instructions to accelerate workloads
  • Performance using all available CPU cores on laptops, desktops, and powerful servers
  • Productivity tools for compiling Python code into optimized instructions
  • Essential Python bindings for easing integration of Intel native tools with your Python project
     

Who Needs This Product

Beginners and Students

  • Learn how to productively program in Python for the most performance.

Researchers and Scientific Computing Developers

  • Accelerate and scale compute-intensive Python code with optimized NumPy, SciPy, and Numba on laptops to powerful servers.
  • Create your own Python libraries and applications that maximize performance using the Intel oneAPI Math Kernel Library, Intel® oneAPI DPC++/C++ Compiler, and Intel® Fortran Compiler runtimes.

High-Performance Computing (HPC) Developers

  • Tune for highest efficiency at scale using advanced tools for multithreading and multiprocessing with OpenMP*, tbb4py, smp, and mpi4py.

Machine Learning Developers and Data Scientists

  • Program for data science at scale with the Intel® Extension for Scikit-learn* and Intel® Optimization for XGBoost.

 

Download as Part of the Toolkit

Intel Distribution for Python is included as part of the Intel® AI Analytics Toolkit, which provides accelerated machine learning and data analytics pipelines with optimized deep learning frameworks and high-performing Python libraries.

Get It Now
Download the Stand-Alone Version

A stand-alone download of Intel Distribution for Python is available. You can download binaries from Intel or choose your preferred repository.

Download

      

Download from Package Managers or Repositories

Installation Guides: conda* | YUM | APT

Develop in the Cloud

Build and optimize oneAPI multiarchitecture applications using the latest optimized Intel® oneAPI and AI tools, and test your workloads across Intel® CPUs and GPUs. No hardware installations, software downloads, or configuration necessary. Free for 120 days with extensions possible.

 

Get Access

What's Included

Package and Environment Managers
Get essential tools for installing, updating, and deleting Python packages and environments.

Data Processing and Modeling Packages
Use these packages in numeric and data science workflows for data collection, ingestion, preprocessing, normalization, transformation, aggregation, and analysis.

Machine Learning Packages
Foundational packages that allow a machine to automatically learn from data without programming it explicitly.

Python Interpreter and Compilers
Use these tools for a versatile interactive experience and to achieve scaled performance.

Advanced Programming Packages
Essential packages that enable fine-grained controls for data management, devices management, concurrency, and parallelism.

Development Packages and Runtimes
Use these runtime packages for enabling performance across Intel-optimized Python packages.

Priority Support
Available through the Intel® oneAPI Base Toolkit.

Documentation

  • Get Started
  • Release Notes
  • Known Issues
  • End User License Agreement (EULA)

View All Documentation

Training

Tutorials

  • Composable Multiprocessing and Multithreading for Numeric Libraries
  • Composable Multithreading for Python Libraries

Videos

  • Introduction to Scalable DataFrame Compiler
  • Is Python Almost as Fast as Native Code?
  • Unlock Composable Parallelism in Python
  • A Performance Analysis of Python Applications with Intel® VTune™ Profiler
  • Boost Python Performance with Intel oneAPI Math Kernel Library

Specifications

Operating systems:
  • Linux*
  • Windows® 10
  • Windows* 11
  • macOS*
Language:
  • Python 3.9
Package management:
  • conda
  • PIP*
Compatible with:
  • Microsoft Visual Studio*
  • PyCharm*

For more information, see the system requirements.

Get Help

Your success is our success. Access these support resources when you need assistance.

  • Intel Distribution for Python Forum
  • General oneAPI Support

Stay in the Know with All Things CODE

Sign up to receive the latest trends, tutorials, tools, training, and more to
help you write better code optimized for CPUs, GPUs, FPGAs, and other
accelerators—stand-alone or in any combination.

 

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