Intel Math Kernel performance-accelerated Python computation packages like NumPy, SciPy, scikit-learn Anaconda Scale, which makes it easy to parallelize workloads using Directed Acyclic Graphs (DAGs) ...

Intel Distribution for Python adds Intel's high-speed math libraries to the existing, highly convenient Anaconda version for data scientists The conventional wisdom about Python is that it makes ...

The momentum behind the language is driven by useful libraries that get developed, he adds. These include the NumPy and SciPy libraries for Python, which Netflix uses to perform numerical analysis ...

The new Anaconda Python Distribution in Excel, which is currently in beta, will bring Python data analysis and data science capabilities to the popular spreadsheet program from Microsoft. 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 for ...

The latest versions of ActivePython, for Python 2.7.13 and Python 3.5.3/3.6.0, now use MKL to accelerate NumPy, SciPy, Scikit-learn, Matplotlib, Theano, and other popular Python libraries for ...

“Python is a very easy language to learn for non-programmers,” said Peter Wang, president of Continuum Analytics. That’s important because most big-data analysts will probably not be ...