How to Use Loops in Python with Real-World Examples

Loops in Python allow you to execute a block of code multiple times, making programming more efficient and reducing redundancy. They are useful for automating repetitive tasks, processing data structures, and implementing logic-driven workflows.

Types of Loops in Python

1. For Loop

A for loop is used to iterate over a sequence such as a list, tuple, string, or range. It is helpful when the number of iterations is known .

Example1:

for i in range(5):
    print(i)

Example2:

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

Example3:

str="Rkdigital school"
for i in str:
    print(i)

2. While Loop

A while loop runs as long as the specified condition remains true. It is useful when the number of iterations is not predetermined.

Example1:

count=0
while count<5:
      print(count)
      count=count+1

Example2: calculate the sum of N numbers using while loop

n=10
sum=0
count=1
while count<=n:
      sum=sum+count
      count=count+1
      print("sum of first 10 natural numbers",sum)

Advantages of Using Loops

• Automates repetitive tasks: Loops eliminate manual repetition by executing code multiple times.
• Efficient data handling: Useful for processing lists, tuples, dictionaries, and files.
• Improves readability: A well-structured loop makes code cleaner and easier to understand.
• Supports complex operations: Enables batch processing, simulations, and automated tasks.

Disadvantages of Using Loops

• Risk of infinite loops: If the exit condition is not properly defined, the loop may run indefinitely, causing performance issues.
• Can impact performance: Excessive looping can slow down execution, especially with large datasets.
• Complexity in nested loops: Deeply nested loops can be hard to manage and debug.
• Consumes memory: Unoptimized loops with large iterations may use excessive system resources.