Five years ago I started a new role and I suddenly found myself, a
staunch R fan, having to code in Python on a daily basis. Working with
data, most of my Python work involved using pandas
, the Python data frame library,
and initially I found it quite hard and clunky to use, being used to the
silky smooth API of R’s tidyverse
. And
you know what? It still feels hard and clunky, even now, 5 years later!
But, what seems even harder, is explaining to “Python people” what …