Intel High-Performance Python Extends to Machine Learning and Data Analytics - insideHPC

One of the big surprises of the past few years has been the spectacular rise in the use of Python* in high-performance computing applications. With the latest releases of Intel Distribution for Python, included in Intel Parallel Studio XE 2019, the numerical and scientific computing capabilities of high-performance Python now extends to machine learning and data analytics. Because it's easy to learn and comes with vast open source packages and libraries tailored for just about every computation domain, especially data analytics and machine learning. Industrial strength data analytics involves some very serious math. A single application might employ many complex solutions requiring a significant effort to develop.