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.
Develop in the Free Intel® Cloud
Get what you need to build and optimize your oneAPI projects for free. With an Intel® Developer Cloud 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.
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.
Training
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.
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