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, 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 ...

Like its inspiration, SciPy is also a free ... and can be integrated with other Python libraries, such as NumPy. The library can create computational graphs that can be modified while the program ...

Intel Distribution ... Python distribution with MKL speed built in was a major convenience. This is doubly true given the breadth of packages included with the distribution: NumPy, SciPy Pandas ...

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 ...

This sponsored post from Intel highlights how today’s enterprises can achieve high levels of parallelism in large scale Python applications using the Intel Distribution for Python ... At the core are ...

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 ...

Excel-maker Microsoft and Anaconda, a key distributor of Python tools, unveiled a collaboration this week that will see Python integrated with Excel. The new Anaconda Python Distribution in ...