intel-scipy 1.7.3

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

SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!

Install instruction

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

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

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

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

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

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