Intel® Distribution for Python*

Develop fast, performant Python* code with this set of essential computational packages including NumPy, SciPy, and more.

High-Performance Python

  • Take advantage of the most popular and fastest growing programming language with underlying instruction sets optimized for Intel® architectures.
  • Achieve near-native performance through acceleration of core Python numerical and scientific packages that are built using Intel® Performance Libraries.
  • Achieve highly efficient multithreading, vectorization, and memory management, and scale scientific computations efficiently across a cluster.
  • Core packages include Numba, NumPy, SciPy, and more.

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Develop for Accelerated Compute

Data Parallel Python technologies enable a standards-based development model for accelerated computing across XPUs that interoperates with the Python ecosystem without using low-level proprietary programming APIs.

  • Data Parallel Control library provides data and device management across Intel® XPUs.
  • Data Parallel NumPy library is a drop-in replacement of NumPy enabling execution across Intel XPUs.
  • Extension for Numba enables compiler support of Intel XPUs.

 

Who Needs This Product

Numerical and Scientific Computing Developers

Accelerate and scale the compute-intensive Python packages NumPy, SciPy, and mpi4py.

High-Performance Computing (HPC) Developers

Unlock the power of modern hardware to speed up your Python applications.

Machine-Learning Developers and Data Scientists

Optimize your scikit-learn* and XGBoost algorithms on Intel architecture.

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.

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 from Package Managers or Repositories

Installation Guides: Conda | YUM | APT

Develop in the Free Intel® Cloud

Get what you need to build and optimize your oneAPI projects for free. With an Intel® DevCloud account, you get 120 days of access to the latest Intel® hardware—CPUs, GPUs, FPGAs—and Intel® oneAPI tools and frameworks. No software downloads. No configuration steps. No installations.

Specifications

Operating systems:
  • Linux*
  • Windows® 10
  • Windows* 11
  • macOS*
Language:
  • Python 3.7.4
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.

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