Python for Data Analytics • Lesson 15
break, continue & pass
Learn how to control Python loops using break, continue and pass — stop, skip, or leave a placeholder inside any loop.
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Why Control a Loop?
A loop normally runs until its stopping condition is reached. Sometimes you need finer control: stop early, skip the current item, or leave a placeholder while you plan the body.
Learn by Seeing
Three loop-control keywords
break → stop the loop entirely continue → skip the current iteration pass → do nothing (placeholder)
Each keyword gives you one specific kind of control inside a loop.
Click a keyword — see what it does:
break
Ends the whole loop immediately.
Interactive Activity
Which keyword stops the entire loop?
Hint: It ends the loop immediately, not just the current iteration.
Python Analyst Mindset
Control flow is how loops become useful
Real data loops are rarely clean: some rows are invalid, some trigger an early stop, and some sections of code are placeholders for later work. break, continue and pass give you the fine control to write that logic cleanly.
Skip
Filter with continue.
Stop
Halt early with break.
Stub
Leave a slot with pass.
Report
Print only what passed.
Frequently Asked Questions
break, continue & pass — FAQs
break ends the whole loop. continue skips only the current iteration and moves on to the next.
When a block is required by syntax but you have no code to write yet. It keeps the program valid while you plan.
Yes. For a while loop, continue jumps back to the condition. For a for loop, continue takes the next item.
Yes — but break only exits the innermost loop. Use a flag or a function if you need to break out of multiple levels.
Lesson Summary
What you learned
Stops the entire loop immediately.
Skips the rest of the current iteration.
Does nothing — a placeholder.
One ends the loop; one skips one iteration.
Code after break in the same iteration does not run.
Skip invalid rows with continue; stop at a limit with break.