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In which cases do we use dictionaries, and in which - lists?

sobes.tech AI

Answer from AI

Lists are used when the order of elements matters and/or you need to store a collection of similar data with access by index. Lists are mutable.

Dictionaries are used when data is represented as key-value pairs and quick access to a value by its key is required. Keys must be immutable. Dictionaries are also mutable.

Comparison:

Characteristic List Dictionary
Purpose Ordered collection of elements Collection of "key-value" pairs
Access By index (integer) By key
Order Preserved (since Python 3.7) Preserved (since Python 3.7)
Mutability Mutable Mutable
Use cases Sequences, stacks, queues Mappings, caches

Examples:

List:

# List of names
names = ["Alice", "Bob", "Charlie"]
# Access by index
print(names[0])

Dictionary:

# Dictionary with user data
user_data = {"name": "Alice", "age": 30, "city": "New York"}
# Access by key
print(user_data["name"])