What are the differences between OOP in Python and functional programming?

What are the differences between OOP in Python and functional programming?

OOP in Python focuses on objects and classes, while functional programming emphasizes functions and immutability. OOP allows for inheritance and encapsulation, whereas functional programming promotes higher-order functions and pure functions.

Can you give me examples of both programming styles?

Sure! In OOP, you might define a class like Car with methods like drive(). In functional programming, you might have a function like map() that applies a function to a list of items.

Which one is better for data analysis?

It depends on the context. Functional programming can be more concise and easier to reason about for data transformations, while OOP can be beneficial for organizing complex data structures.

Are there any libraries in Python that support functional programming?

Yes, Python has several libraries that support functional programming, such as functools, itertools, and toolz. These libraries provide tools for functional programming techniques.