High-Performance Python

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

The Intel® Distribution for Python provides:

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

Features

• **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.