In this article, we’ll introduce you to some of the libraries that have helped make Python the most popular language for data science in Stack Overflow’s 2016 developer poll. These are the ...

"Python libraries can be tricky to configure, even for the systems-savvy, while most R packages run right out of the box." PyPI, he notes, "seems thin on data science." Searches on PyPI "turned up ...

This sponsored post covers how Intel Performance Libraries ... Python? Really? Well, the fact is that Python has successfully found its way into nearly all the major technical application areas ...

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more. It may seem odd to ...

In its GTC event this week, Nvidia made a number of related points, aiming to build on machine learning and extend to data science and ... conjunction with other Python libraries.

Douwe Osinga and Jack Amadeo were working together at Sidewalk Labs, Alphabet’s venture to build tech-forward cities, when they arrived at the conclusion ... Python library for data analysis ...

It, too, is a library for distributed parallel computing in Python, with a built-in task scheduling system, awareness of Python data frameworks like NumPy, and the ability to scale from one ...

Forbes contributors publish independent expert analyses and insights. I write about tech & finance. Python is one of the world’s most popular computer languages, with over 8 million developers ...