become a pervasive and useful tool in advancing
scientific research and computation. The language
has very rich ecosystem of open source packages for
mathematics, science, and engineering, anchored on
the performant numerical computation on arrays and
matrices, data analysis and visualization
capabilities, and an interactive development
environment that enables rapid and collaborative
iteration of ideas.
Intel® Distribution for Python is a
ready-to-use, integrated package that delivers
faster application performance on Intel® platforms.
Performance accelerated packages with Intel Python
enable scientists to take advantage of the
productivity of Python, while taking advantage of
the ever-increasing performance of modern hardware.
Intel's optimized implementations of NumPy and
SciPy leverage the Intel® Math Kernel Library to
achieve highly efficient multi-threading,
vectorization, and memory management. Intel's
optimized implementation of mpi4py leverages the
Intel® MPI Library to scale scientific computation
efficiently across a cluster.