This content originally appeared on DEV Community and was authored by Aditi Sharma
What are Tuples?
• Tuples are ordered and immutable collections.
• They can store multiple items like lists, but unlike lists, they cannot be modified (no append, remove, etc.).
• Defined using parentheses ().
fruits = (“apple”, “banana”, “cherry”)
print(fruits[0]) # apple
Key Properties of Tuples
Ordered → items have a fixed sequence
Immutable → can’t change once created
Allow duplicates → can store repeated values
Can store mixed data types
Why Use Tuples?
• Safer than lists if data shouldn’t change
• Faster than lists (performance benefit)
• Can be used as dictionary keys (since immutable)
Tuple Operations & Examples
Accessing Elements
numbers = (10, 20, 30, 40)
print(numbers[1]) # 20
Tuple Packing & Unpacking
person = (“Alice”, 25, “Engineer”)
name, age, profession = person
print(name) # Alice
Concatenation & Repetition
t1 = (1, 2)
t2 = (3, 4)
print(t1 + t2) # (1, 2, 3, 4)
print(t1 * 2) # (1, 2, 1, 2)
Nesting Tuples
nested = (1, (2, 3), (4, 5))
print(nested[1][1]) # 3
Reflection
Tuples may look similar to lists, but their immutability makes them useful in situations where data must remain constant.
Next, I’ll be diving into Sets and Set operations in Python!
This content originally appeared on DEV Community and was authored by Aditi Sharma