While that's fair, it's fairly easy to fit it in only the most intensive operations and then seamlessly convert back to a pandas data frame. I understand why y

While that's fair, it's fairly easy to fit it in only the most intensive operations and then seamlessly convert back to a pandas data frame. I understand why you wouldn’t do this on an organizational level for production workflows, but for personal workflows in my opinion, it’s a no-brainer to incrementally learn and adopt it.