Looping through lists is a common task in Python programming. Python provides several ways to iterate through list items using different types of loops.

Example List

fruits = ["apple", "banana", "cherry"]

1. Loop Using for – Simple Iteration

Use a for loop to go through each item in the list

Example:

fruits = ["apple", "banana", "cherry"]
for fruit in fruits:
   print(fruit)

Output:

apple
banana
cherry

Best for reading or processing each item.

2. Loop Using for with Index (range(len()))

If you need the index of items while looping.

fruits = ["apple", "banana", "cherry"]
for i in range(len(fruits)):
   print(i, fruits[i])

Output:

0 apple
1 banana
2 cherry

 Useful when modifying items based on index.

3. Loop Using while

You can also loop using a while loop and an index counter.

Example:

fruits = ["apple", "banana", "cherry"]
i = 0
while i < len(fruits):
   print(fruits[i])
   i += 1

Output:

apple
banana
cherry

 Useful in more controlled or conditional loops.

4. Loop Using enumerate() – Get Index & Value

A cleaner way to get both index and item.

Example:

fruits = ["apple", "banana", "cherry"]
for index, value in enumerate(fruits):
   print(index, value)

Output:

0 apple
1 banana
2 cherry

More Pythonic than range(len()).

5. Loop Through Items with if Conditions

You can filter items during looping.

Example:

fruits = ["apple", "banana", "cherry"]
for fruit in fruits:
   if "a" in fruit:
       print(fruit)

Output:

apple
banana

Useful for filtering or condition-based processing.

6. List Comprehension – One-Liner Loop

A Pythonic way to write loops that return new lists.

Example:

fruits = ["apple", "banana", "cherry"]
new_list = [fruit.upper() for fruit in fruits]
print(new_list)

Output:

['APPLE', 'BANANA', 'CHERRY']

Efficient and clean for transformation tasks.

Summary of Looping Methods