Optimized implementation of [numpy](http://www.numpy.org/), 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 numpy
```
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