What are nested structures in data science?

What are nested structures in data science?

Nested structures in data science refer to data formats that contain other data structures within them, like lists within lists or dictionaries within dictionaries.

Can you give me an example of a nested structure?

Sure! A common example is a list of dictionaries, where each dictionary represents a record with multiple fields. For instance, a list of student records where each record contains a name, age, and grades.

How do you manipulate nested structures in Python?

In Python, you can manipulate nested structures using loops and indexing. For example, you can iterate through a list of dictionaries and access each field using keys.

What libraries can help with nested data structures?

Libraries like Pandas and NumPy are great for handling nested data structures, as they provide powerful tools for data manipulation and analysis.