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Loop Control & Patterns

Master loop control with break, continue, and pass. Learn common loop patterns and the unique loop-else clause.

By TechCoder TeamLast updated: 2026-10-17
In a Nutshell

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.

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The continue Statement

continue skips the rest of the current iteration and moves to the next one.

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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.

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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).

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Common Loop Patterns

1. The Sentinel Value Pattern

This pattern uses a specific value (like "exit" or -1) to signal the end of input.

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2. Nested Loops

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Practical Example: CLI Menu System

This is a very common pattern for building command-line applications.

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Quiz

Quiz

Question 1 of 5

What does the break statement do?

Pauses the loop
Skips the current iteration
Exits the loop immediately
Restarts the loop

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! 🚀