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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.

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