Intel’s Python distribution turbocharges data science

The conventional wisdom about Python is that it makes your job easier, not necessarily faster. If your job includes data science, though, Intel is working on a way to make it faster as well. Now available generally, the Intel Distribution for Python repackages the existing Anaconda distribution of Python, created by Continuum Analytics. It gets its speed boost from the Intel MKL (Math Kernel Library), a collection of routines that leverage the capabilities of recent Intel processors to provide better performance for common data-science related tasks like linear algebra or fast Fourier transforms. Intel offered pre-release access to the distribution back in March, but without the branding. It was immediately clear that providing a curated Python distribution with MKL speed built into it was a major win for convenience. This is doubly…


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