Loops in Python are used to execute a block of code repeatedly as long as a specified condition is met. They help reduce code repetition and make programs more efficient.
Python mainly provides for loops and while loops.
Why Loops Are Important
Loops help to:
- Automate repetitive tasks
- Iterate over data collections
- Process large amounts of data
- Build efficient programs
Example:
for i in range(5):
print(i)
Types of Loops in Python
Python has two primary looping constructs.
1. for Loop
The for loop is used to iterate over a sequence such as a list, tuple, string, or range.
for letter in "Python":
print(letter)
Using range() with for Loop
for i in range(1, 6):
print(i)
2. while Loop
The while loop runs as long as the condition is true.
count = 1
while count <= 5:
print(count)
count += 1
Loop Control Statements
Python provides control statements to manage loop execution.
break Statement
Stops the loop completely.
for i in range(10):
if i == 5:
break
print(i)
continue Statement
Skips the current iteration.
for i in range(5):
if i == 2:
continue
print(i)
pass Statement
Used as a placeholder where a statement is required syntactically.
for i in range(3):
pass
Nested Loops
A loop inside another loop is called a nested loop.
for i in range(3):
for j in range(2):
print(i, j)
Common Loop Errors
❌ Infinite loops
❌ Incorrect range values
❌ Forgetting to update loop variables
Always ensure loop conditions eventually become false.
Best Practices for Using Loops
✔ Avoid unnecessary loops
✔ Use meaningful variable names
✔ Prefer for loop over while when possible
✔ Keep loops readable and simple
Conclusion
Loops are essential for handling repetitive tasks in Python. Understanding loops enables you to process data efficiently and build scalable applications.
References
- Internal Reference: https://savanka.com/category/learn/python/
- External Reference: https://www.w3schools.com/python/