AUSTIN, TX—February 8, 2016Continuum Analytics, the creator and driving force behind Anaconda, the leading modern open source analytics platform powered by Python, today announced the release of Anaconda 2.5. The latest version of Anaconda is now coupled with Intel® Math Kernel Library (Intel® MKL) optimization to supercharge analytics for data science teams worldwide. The R-Essentials package with Anaconda is bundled with Microsoft R Open (MRO), the leading enterprise R distribution, to make available the best Open Data Science solution for data scientists.

AUSTIN, TX—February 8, 2016Continuum Analytics, the creator and driving force behind Anaconda, the leading modern open source analytics platform powered by Python, today announced the release of Anaconda 2.5. The latest version of Anaconda is now coupled with Intel® Math Kernel Library (Intel® MKL) optimization to supercharge analytics for data science teams worldwide. The R-Essentials package with Anaconda is bundled with Microsoft R Open (MRO), the leading enterprise R distribution, to make available the best Open Data Science solution for data scientists.

“We’re at an inflection point in open source where the velocity of innovation has accelerated the entire data science movement to new heights,” said Travis Oliphant, Continuum Analytics CEO and co-founder. “Our user community bridges the gaps between legacy data analytics and the new era of data science and is laying the foundation for an entire generation of valuable high performance analytics. This will significantly change the world around us by delivering a connected ecosystem for data scientists that powers the entire data science lifecycle.”

The Open Data Science movement gained significant momentum in 2015 and Anaconda, the leading full-stack Open Data Science solution, experienced 60 percent year over year customer growth and an 87 percent revenue increase. With default support for both Intel MKL and Microsoft R Open, Anaconda 2.5 accelerates math-intensive analytics by up to 7x and provides data science teams with an open, inclusive and easily connected data science ecosystem.

“Python, with NumPy and SciPy, is very approachable and important for data analytics. With Anaconda bringing together Python and Intel MKL, we get ease of use and faster data analytics,” said James Reinders, Director and Architect for Parallel Programming, Intel Corporation. “Data scientists, data analysts and business intelligence experts can benefit because this acceleration will help them supply more timely information to their organizations, while still benefiting from the approachability and ease of use of Python.”

Anaconda 2.5 is available today. The Anaconda R-Essentials package with MRO will be available on February 25, 2016.

About Continuum Analytics

Continuum Analytics is the creator and driving force behind Anaconda, the leading, modern open source analytics platform powered by Python. We put superpowers into the hands of people who are changing the world.

With more than 2.25M downloads annually and growing, Anaconda is trusted by the world’s leading businesses across industries – financial services, government, health & life sciences, technology, retail & CPG, oil & gas – to solve the world’s most challenging problems. Anaconda does this by helping everyone in the data science team discover, analyze, and collaborate by connecting their curiosity and experience with data. With Anaconda, teams manage their open data science environments without any hassles to harness the power of the latest open source analytic and technology innovations.

Our community loves Anaconda because it empowers the entire data science team – data scientists, developers, DevOps, architects, and business analysts – to connect the dots in their data and accelerate the time-to-value that is required in today’s world. To ensure our customers are successful, we offer comprehensive support, training and professional services.

Continuum Analytics’ founders and developers have created or contribute to some of the most popular open data science technologies, including NumPy, SciPy, Matplotlib, Pandas, Jupyter/IPython, Bokeh, Numba and many others. Continuum Analytics is venture-backed by General Catalyst and BuildGroup.

To learn more about Continuum Analytics, visit www.continuum.io

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