We agree it is simple, but actually, it isn’t so much Python per se, it is some pretty cool libraries (SciPy, in particular) that do all the hard work. That may be splitting hairs, but it is ...

SciPy, Numba, Cython ... or that you use the Anaconda distribution of Python. HPAT uses Numba, but unlike that project and Cython, it doesn’t compile Python as is. Instead, it takes a restricted ...

SciPy, scikit-learn Anaconda Scale, which makes it easy to parallelize workloads using Directed Acyclic Graphs (DAGs) Intel Distribution for Python powered by Anaconda is delivered as part of the ...

In this video, David Bolton from Slashdot shows how ‘embarrassingly parallel’ code can be sped up by utilizing Intel tools including the Intel Python compiler and OpenMP. “The Intel Distribution ...