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Hajipur, Bihar, 844101
Loop control gives you more flexibility inside your for and while loops. It helps you skip values, stop loops early or create smoother flow in repeated tasks. These tools make your programs cleaner and easier to manage. In Python, the main loop control statements are break, continue and pass. Each one affects the loop in a different way, and learning when to use them will strengthen how you write logic every day. Let’s walk through each one with clear examples and practical explanations 😊
Loop control refers to instructions that modify the normal path of a loop. Without these tools, loops simply run from start to finish. With them, you can stop iterations, skip steps or hold a place for future logic. These controls matter when your loop needs decision-making inside its body.
A few common scenarios include:
Ending a loop early when a condition is met
Skipping unnecessary work
Avoiding deep nested conditions
Leaving placeholders inside loops for later development
These small adjustments help your code stay readable and predictable.
break StatementThe break statement stops a loop immediately. It doesn’t wait for the loop to finish all its iterations. As soon as break runs, the loop exits and the program jumps to the next line after the loop.
breakYou find the target value you were looking for
A condition becomes invalid
A menu option ends the process
You want to prevent unnecessary extra iterations
numbers = [3, 8, 12, 21, 30]
for n in numbers:
if n > 20:
print("Found a number above 20:", n)
break
The loop ends as soon as it finds the first number greater than 20. Without break, the loop would scan the entire list even when the job is already complete.
x = 1
while x <= 10:
if x == 5:
break
print(x)
x += 1
This loop stops once x reaches 5.
continue StatementThe continue statement skips the current iteration and jumps back to the loop header for the next round. Everything below continue in the loop body is ignored for that specific pass.
continueYou want to skip unwanted values
You need to avoid running code under certain conditions
Filtering data
Skipping empty or invalid items
for i in range(1, 11):
if i % 2 == 0:
continue
print(i)
The loop prints only odd numbers because it skips even ones.
while True:
text = input("Enter something (no spaces allowed): ")
if " " in text:
continue
print("You typed:", text)
break
The loop keeps asking until the input has no spaces.
pass StatementThe pass statement does nothing. It is used as a placeholder where Python expects a statement but you aren’t ready to add logic yet. This keeps your code error free while you continue building and planning.
passYou’re outlining code structure
You’re planning logic for future updates
You want an empty loop or condition for now
Avoiding syntax errors in temporary blocks
for i in range(5):
pass
Nothing happens, but the loop exists without errors.
if True:
pass
This is useful when designing a system and filling in features later.
Many programs use more than one control statement. For example, you might skip invalid inputs with continue and stop the entire loop when the input meets a final condition using break.
nums = [10, -3, 7, 0, 15, -1]
for n in nums:
if n < 0:
continue
if n == 15:
break
print(n)
Here’s what happens:
Negative numbers are skipped
The number 15 stops the loop
All positive values before 15 are printed
Nested loops make loop control more interesting. When you use break or continue inside a nested structure, the statement applies only to the innermost loop.
for i in range(1, 4):
for j in range(1, 6):
if j == 4:
break
print(i, j)
This stops only the inner loop when j hits 4. The outer loop continues running.
Loop control is simple to write but easy to misuse. A few things to watch out for:
Infinite loops when using continue inside while loops without updating variables
Exiting too early when using break before all needed work is done
Overusing pass, leaving too many empty code blocks
Skipping essential code by placing continue too early in the loop
Testing the loop step by step helps catch these issues.
Loop control gives you the tools to manage how loops behave.
Use break to stop a loop completely when a condition is satisfied.
Use continue to skip unnecessary work in the current iteration.
Use pass as a placeholder when planning code.
These three statements make your loops flexible, efficient and easier to read. They help you write programs that make smart decisions at the right time 🧠✨
Write a program that loops from 1 to 20 and stops the loop when the number reaches 12 using break.
Loop through a list of names and skip any name that starts with “A” using continue.
Ask the user to keep entering numbers. Stop the loop when they enter a negative number.
Loop through characters in a string and skip all spaces using continue.
Loop through numbers 1 to 30 and print only those that are not divisible by 3.
Search for a value (like 50) inside a list using a loop. If found, use break and print “Found”. If not found, use else and print “Not found”.
Build a login attempt program where the user gets unlimited attempts but the loop stops immediately when the correct password is entered.
Write a loop that prints numbers from 1 to 10 but uses pass inside an empty condition block just to hold the structure.
Loop through a list of mixed values and skip all non-integers using continue.
Loop from 1 to 100 and stop at the first number that is both even and divisible by 7. Print that number and exit using break.