Predicting it now. A large part of the "why" is going to be because of the jump in data science. Python is an incredibly kind language to new comers in the sense that it allows you to just get started. A lot of people are making bigger jumps into data science (purely anecdotal) in the sense that they are programming more around it. Scraping data, cleaning data, etc is also really easy with Python. Devops stuff is als…
I actually keep a jupyter qtconsole open to use them for ad-hoc data visualization. Pandas replaced excel for me a while ago and I cringe every time I need to abandon seaborn for a Tableau workbook these days.
GUI Visualization tools like Tableau or PowerBI seem to error towards presentation, while the defaults for seaborn help discover and visualize data while still producing results good enough to make C*O's happy.