Working with Data Structures

Back to: Working with Data Structures

Data scientists frequently work with collections of information. Python provides several useful data structures:

Lists

scores = [80, 90, 95]

Dictionaries

student = {
    "name": "John",
    "score": 90
}

Tuples

coordinates = (10, 20)

Sets

unique_values = {1,2,3}

Understanding these structures is critical because datasets are often transformed into these formats during analysis. Choosing the correct structure improves efficiency and readability.