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.

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 libraries address various topics, including scientific computing, web development, graphical user interfaces (GUI), data manipulation and machine learning.

Python and Excel can only really talk to each other through limited functions—xl () and =PY ()—that can only return code results, not macros, VBA code, or other data, Microsoft claims.