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.

    •  

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® oneAPI 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 Containers

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
  • macOS*
Language:
  • Python 3.7.4

For more information, see the system requirements.

Package management:
  • conda*
  • PIP*
Compatible with:
  • Microsoft Visual Studio*
  • PyCharm*

Get Help

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

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.