I actually don't like Pandas but I think it's pretty obvious that the array language style is an incredibly powerful way to manipulate blocks of multiple dimensional data. People here are complaining about not being able to use for loops, but why would you want to use them in the first place? Like let's say you want to add two vectors together. Looping over each index and adding them and assigning them to a third vector element by element is not only I expressive (and like everything else written in Python, computational inefficient), but it is an conceptually inappropriate solution to the problem.

You are operating on n-dimensional arrays, not elements, so your need to write code that expresses that intent.

Anyone who thinks that anything besides writing "a + b" to add two matrices together is a good or simple solution is crazy.

Operate at a higher conceptual level. Don't use loops. Transform and compose your data, not your datums.