From the bad-play-on-words department

For those using Python to calculate asymptotes and other science and mathematical things, Intel ® has added its speedy MKL (Math Kernel Library) to the mix. Called Intel ® Distribution for Python* 2017 Beta, The beta release gives Python a big boost by using MKL and other libraries. From the web page "The Beta product adds new Python packages like scikit-learn, mpi4py, numba, conda, tbb (Python interfaces to Intel Threading Building Blocks) and pyDAAL (Python interfaces to Intel Data Analytics Acceleration Library). The Beta also delivers performance improvements for NumPy/SciPy through linking with performance libraries like Intel MKL, Intel Message Passing Interface (Intel MPI), Intel TBB and Intel DAAL."

Beta users can look forward to the following features.

  • Includes NumPy, SciPy, scikit-learn, numba, Cython, pyDAAL
  • Performance accelerations via Intel® MKL, Intel MPI, Intel® TBB, Intel® DAAL
  • Easy, out-of-the-box access to performance
  • Free to download
  • Supports Python versions 2.7 and 3.5
  • Available on Windows*, Linux, and Mac OS

An Intel blog provide more information. There is also a Python profiling tool (beta) available.

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