by Angela Guess
According to a recent article out of the company, “Continuum Analytics, the creator and driving force behind Anaconda, the leading open data science platform powered by Python, welcomes Intel into the Anaconda ecosystem. Intel has adopted the Anaconda packaging and distribution and is working with Continuum to provide interoperability. By offering Anaconda as the foundational high-performance Python distribution, Intel is empowering enterprises to more quickly build open analytics applications that drive immediate business value. Organizations can now combine the power of the Intel® Math Kernel Library (MKL) and Anaconda’s Python-based data science to build the high performance analytic modeling and visualization applications required to compete in today’s data-driven economies.”
Michele Chambers, VP of Products & CMO at Continuum Analytics, commented, “We are in the midst of a computing revolution where intelligent data-driven decisions will drive our every move––in business and at home. To unleash the floodgates to value, we need to make data science fast, accessible and open to everyone… Python is the defacto data science language that everyone from elementary to graduate school is using because it’s so easy to get started and powerful enough to drive highly complex analytics. Anaconda turbo boosts analytics without adding any complexity.”
The article continues, “Without optimization, high-level languages like Python lack the performance needed to analyze increasingly large data sets. The platform includes packages and technology that are accessible to beginner Python developers and powerful enough to tackle data science projects for Big Data. Anaconda offers support for advanced analytics, numerical computing, just-in-time compilation, profiling, parallelism, interactive visualization, collaboration and other analytic needs. Customers have experienced up to 100x performance increases with Anaconda.”
Photo credit: Continuum Analytics