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World Programming Unveils New Industrial Analytics and Data Science Features for 2017

By   /  December 16, 2016  /  No Comments

wpby Angela Guess

A new press release states, “World Programming, a leading industrial analytics and data science platform provider, today unveiled new features for data scientists and data science teams including those working within life sciences, pharmaceuticals, and financial services. Designed to deliver more analytical capability and higher productivity, WPS version 3.3 includes support for the Python programming language, joining the platform’s existing support for the data science and scientific computing languages of SAS, SQL and R. Additionally, WPS now provides users with access to a wider variety of open source and commercial libraries and packages within SAS programs, including the widely used scikit-learn — a free machine-learning software library for the Python programming language.”

The announcement continues, “World Programming’s extensive team of software engineers and mathematicians has worked to build one of the industry’s highest-performing, most reliable platforms for data science and production analytics. To date, the World Programming product development team has written more than five million lines of code for the WPS software platform. Six hundred thousand lines of code alone were written for the company’s latest WPS release. ‘We’re proud of the hard work that have put into the WPS software during the past eighteen months. We’ve made some core improvements, while also adding industry-specific features for our more sophisticated users,’ said Oliver Robinson, CEO at World Programming. ‘Industries such as the life sciences and pharmaceuticals use complex methods to analyse life-saving clinical trials whilst banks and insurers are working to protect your money and reduce premium levels by combatting fraud. WPS version 3.3 aims to make these processes more accessible to the growing field of data science’.”

Read more at Marketwired.

Photo credit: World Programming

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