“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 ...

An extensive survey of around 30,000 developers has revealed Python is still a preferred language for many programmers, with ...

Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

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

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.

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 ...

Why build your own user credentialing, form handling, security, and other stock components? These big and powerful Python frameworks cover all the bases.

“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 ...