Ryan M. May, Kevin H. Goebbert, Jonathan E. Thielen, John R. Leeman, M. Drew Camron, Zachary Bruick, Eric C. Bruning, Russell P. Manser, Sean C. Arms, Patrick T ...

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.

Though more complicated as it requires programming knowledge, Python allows you to perform any manipulation, transformation, and visualization of your data. It is ideal for data scientists.

Preset software packages in Python allow for custom scientific analysis. Damien Irving uses a variety of software packages to analyse and report on climate data.

Discover five powerful Python libraries that enable data scientists to interpret and explain machine learning models effectively.

Excel gets containerized, cloud-based Python analytics and visualization powers Visualization and analytics tools available in preview, but may be paywalled.