1. What is a Tuple?
A tuple in Python is an ordered and immutable data structure used to store multiple values in a single variable. It is very similar to a list, but the main difference is that tuples cannot be changed after creation.
my_tuple = (1, 2, 3)
2. Creating a Tuple
- Using parentheses:
fruits = ("apple", "banana", "cherry")
- Parentheses are optional (a comma is enough):
colors = "red", "green", "blue"
- For a single-element tuple, a trailing comma is required:
one_element = ("hello",)
3. Accessing Tuple Elements
You can access tuple elements using index numbers. Indexing starts at 0.
print(fruits[0]) # apple
print(fruits[-1]) # cherry
4. Iterating Through a Tuple
for fruit in fruits:
print(fruit)
5. Nested Tuples
Tuples can contain other tuples:
nested = (1, 2, (3, 4))
print(nested[2]) # (3, 4)
print(nested[2][0]) # 3
6. Immutability
Tuple contents cannot be changed after creation. The following will raise an error:
fruits[1] = "orange" # ❌ TypeError
7. Advantages of Tuples
- Faster: Tuples consume less memory and are faster than lists.
- Safer: Immutable nature ensures data integrity.
- Hashable: Tuples can be used as keys in dictionaries (lists cannot).
8. Tuple Functions
| Function | Description |
|---|---|
| len(t) | Returns the number of elements |
| t.count(x) | Counts how many times x appears |
| t.index(x) | Returns the index of the first occurrence of x |
numbers = (4, 2, 7, 2, 9)
print(numbers.count(2)) # 2
print(numbers.index(7)) # 2
9. Converting Between Tuples and Lists
my_list = [1, 2, 3]
my_tuple = tuple(my_list)
new_list = list(my_tuple)
Summary:
| Feature | Tuple | List |
|---|---|---|
| Ordered | ✅ | ✅ |
| Mutable | ❌ (immutable) | ✅ (mutable) |
| Syntax | () | [] |
| Performance | Faster | More flexible |
| Use Cases | Fixed sets, safe data | Dynamic collections |
Try Yourself: https://colab.research.google.com/drive/1w3s04eF5v9Y3OiXZgdA4k8s47SscLaEY?usp=sharing
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