Loop Control & Patterns
Master loop control with break, continue, and pass. Learn common loop patterns and the unique loop-else clause.
Master loop control with break, continue, and pass. Learn common loop patterns and the unique loop-else clause. This hands-on tutorial focuses on practical implementation of loop control & patterns concepts.
Loop Control & Patterns
Sometimes you need more control over your loops. Python provides statements to alter the flow of a loop: break, continue, and pass.
Control Flow Visualized
The break Statement
break stops the loop immediately and exits it.
The continue Statement
continue skips the rest of the current iteration and moves to the next one.
The pass Statement
pass does nothing. It is a placeholder when a statement is required syntactically but you do not want any command or code to execute.
Loop else Clause
Python has a unique feature: loops can have an else block! The else block executes only if the loop completes normally (i.e., it was NOT stopped by a break).
Common Loop Patterns
1. The Sentinel Value Pattern
This pattern uses a specific value (like "exit" or -1) to signal the end of input.
2. Nested Loops
Practical Example: CLI Menu System
This is a very common pattern for building command-line applications.
AI Mentor
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Quiz
Quiz
Question 1 of 5What does the break statement do?
Key Takeaways
✅ break exits the loop completely
✅ continue skips to the next iteration
✅ pass is a placeholder that does nothing
✅ Loop else runs if the loop finishes without break
✅ while True is common for infinite loops that break on a condition
Module Complete! 🎉
Congratulations! You have completed Module 1: Python Foundations. You now understand:
- Variables & Data Types
- Strings & Numbers
- User Input
- Logic (if/else)
- Loops (for/while)
In the next module, we will start building real structures with Data Structures (Lists, Dictionaries, Sets, Tuples).
Keep coding! 🚀