Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

The Python programming language is a hit for data science and machine-learning projects on high-powered hardware, but one of its weaknesses is speed. Anaconda, a company that provides a leading ...

Open Intell and Open Python utilities aim to facilitate and accelerate buy-side data-driven decision making.

“Python is a very easy language to learn for non-programmers,” said Peter Wang, president of Continuum Analytics. That’s important because most big-data analysts will probably not be ...

“Python is a very easy language to learn for non-programmers,” said Peter Wang, president of Continuum Analytics. That’s important because most big-data analysts will probably not be ...

Researchers at Brown University created Tuplex, a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code.

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Perhaps surprisingly, given the programming language’s increasing popularity in modern big data and analytic applications, but Python made its debut in 1991 and is the oldest of the big three.

Apache Spark 3.0 is now here, and it’s bringing a host of enhancements across its diverse range of capabilities. The headliner is an big bump in performance for the SQL engine and better coverage of ...

That speedup will come in handy for machine learning and big data workloads, which requires a program to quickly process large amounts of incoming data. The language C is a favorite among machine ...