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 ...

The company, which promises to solve usability challenges with data science tools at scale ... For some context, Pandas is one of the most popular libraries in Python for data analysis, cleaning ...

The MKL libraries for accelerating math operations debuted in Intel's own Python ... Most of the packages in ActiveState that benefit from MKL are staple elements in data science workflows ...

"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 ...

The vast majority of libraries used for data science or machine learning have Python interfaces, making the language the most popular high ... has many useful and important features not found ...

This sponsored post covers how Intel Performance Libraries ... data science and machine learning, financial transactions, academic research, and, most importantly, numerical computing for science and ...

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 ...