I've certainly seen that, but it can be quite variable depending on the specific circumstances of a field, department, project, etc. My team hired a recent graduate, and he's completely up to date, to the point I'm the old dog learning new tricks from him.
Then I know someone who's a researcher at the university, and they have no funds to buy computers, so she provides her own and is quite incensed about it. And the money for refactoring and updating stuff is zero. For any lab equipment connected to a computer, the computer is as old as the equipment.
And then everything in between.
In my view the vast majority of scientists using Python are using it at a level where they could practically switch to Python 3 just by cleaning up their print statements.
And an amusing anecdote... by the time my thesis project was in full swing, the OS that I had been using (MS-DOS running hardware that I had built) was largely obsolete. But I sure as hell wasn't going to change horses in mid stream, so I persisted with the old stuff.
Then I know someone who's a researcher at the university, and they have no funds to buy computers, so she provides her own and is quite incensed about it. And the money for refactoring and updating stuff is zero. For any lab equipment connected to a computer, the computer is as old as the equipment.
And then everything in between.
In my view the vast majority of scientists using Python are using it at a level where they could practically switch to Python 3 just by cleaning up their print statements.
And an amusing anecdote... by the time my thesis project was in full swing, the OS that I had been using (MS-DOS running hardware that I had built) was largely obsolete. But I sure as hell wasn't going to change horses in mid stream, so I persisted with the old stuff.