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 GPU 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.
Accelerated Python Data Science & Machine Learning
If you are a machine learning developer or data scientist, you can optimize your scikit-learn and XGBoost algorithms on Intel® architecture using the Intel® oneAPI AI Analytics Toolkit.
Develop in the 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.
Download the Library
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.
Training
Specifications
Operating systems:
- Linux*
- Windows® 10
- 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 forums when you need assistance.
Ready to Get Started?
Get the Intel® oneAPI AI Analytics Toolkit | Try Your Code in the Intel DevCloud