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NumPy is the fundamental package for array computing with Python.

Project description

Optimized implementation of numpy, leveraging Intel® Math Kernel Library to achieve highly efficient multi-threading, vectorization, and memory management.

It provides:

  • a powerful N-dimensional array object
  • sophisticated (broadcasting) functions
  • tools for integrating C/C++ and Fortran code
  • useful linear algebra, Fourier transform, and random number capabilities
  • and much more

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

All NumPy wheels distributed on PyPI are BSD licensed.

Install instruction

Intel optimized NumPy Pypi packages are now distributed via Anaconda Cloud.

To install Intel optimized NumPy Pypi package please use following command:

python -m pip install -i https://pypi.anaconda.org/intel/simple --extra-index-url https://pypi.org/simple numpy

If command above installs NumPy package from the Pypi, please use following command to install Intel optimized NumPy wheel package from Anaconda Cloud:

python -m pip install -i https://pypi.anaconda.org/intel/simple --extra-index-url https://pypi.org/simple numpy==<numpy_version>

Where <numpy_version> should be the latest version from https://anaconda.org/intel/numpy

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