2 ответов
+ 8
Sooner or later you will have to write your own class to store or process the data you gather and analyze, so yes, understanding at least the basics of OOP is a good thing.
Also, utilizing numpy, pandas and sklearn you will most often refer to certain module-specific classes and their methods, resulting in objects of certain features being returned. It is good to know how to handle them then.
0
the way data science is progressing
its not like that its good to understand oop
its must for u..
data science is itself a deep dive in managing things