Data Structures in Python 🗃️: Lists, Tuples, Dictionaries, and Sets

Data structures are vital for organizing and manipulating data efficiently.

Lists: Ordered, mutable collections.

fruits = ['apple', 'banana', 'cherry']
fruits.append('date')  # Adds element
print(fruits)

Tuples: Immutable ordered collections.

coordinates = (10.0, 20.0)

Dictionaries: Key-value pairs, highly flexible.

person = {'name': 'Alice', 'age': 30}
print(person['name'])  # Output: Alice

Sets: Unordered collections with unique elements.

unique_numbers = {1, 2, 2, 3}
print(unique_numbers)  # Output: {1, 2, 3}

Choosing appropriate data structures enhances performance and code clarity, especially when handling large data sets.