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Furthermore, we strongly recommend developer to use Intel Distribution for Python, which has prebuilt NumPySciPy based on Intel Math Kernel Library (Intel MKL) and more.

Please refer to Installing Intel Distribution for Python Install Guide.

Numpy For Python 3.7 Code Useful Linear

It consists of: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating CC and Fortran code useful linear algebra, Fourier transform, and random number capabilities.

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data.

The SciPy library utilizes 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 for python users.

Intel MKL and Intel Fortran are also bundled with Intel Parallel Studio XE Professional, Composer or Cluster Editions.

When install VS2017, just select the VC 2015.3 v14.00 (v140) toolset for desktop at the bottom of the Desktop development with C section.

According to analyzing the source code of python 3.7.4, the v140 build tools is also required.

Go to All Programs - Intel Parallel Studio XE 20XX - Command Prompt, select Intel64 Visual Studio XX mode for Intel64 build binaries specifically.

Then run the following command to setup the environment for the v140 toolset.

If you are using the ILP64 interface, please add -DMKLILP64 compiler flag.

Run icl help for more information on processor-specific options, and refer Intel Compiler documentation for more details on the various compiler flags.

Compile and install NumPy with the Intel Fortran and Intel C compilers: For Intel64 platform, run.

Modify the Fortran compiler configuration in numpy-x.x.x numpy distutil fcompiler intel.py to use the following compiler options for the Intel Fortran Compiler.

If you are using older versions of NumpySciPy, please refer the new intel.py for your reference from the latest version of NumPy, which can be replaced to use the above mentioned compiler options.

In this case, after your successful NumPy build, you have to export PYTHONPATH environment variable pointing to your install folder.

This occurs when you have installed Intel MKL and Intel Composer XE in non-standard directories.

The only solution we have found that always works is to build Python, NumPy and SciPy inside an environment where youve set the LDRUNPATH variable.

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