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Python Nested Loops and Control Flow

Nested loops run one loop inside another. For every outer-loop item, the inner loop begins again. This is useful for grids and pairs, but work can grow quickly as both collections become larger. Learn with a clear.

2 views Published Oct 17, 2026 Updated Oct 18, 2026 Admin

This guide explains Nested Loops and Control Flow through a focused example and practical reasoning. No prior knowledge of this specific operation is required.

Understanding the Concept


Nested loops run one loop inside another. For every outer-loop item, the inner loop begins again. This is useful for grids and pairs, but work can grow quickly as both collections become larger.

When You Would Use This


Generate a small coordinate grid.

Step-by-Step Example


for row_number in range(1, 3):
    for column_number in range(1, 4):
        print(f"({row_number}, {column_number})")

How the Example Works


There are two outer iterations and three inner iterations each, producing six coordinate pairs.

Example Output


(1, 1)
(1, 2)
(1, 3)
(2, 1)
(2, 2)
(2, 3)

Try It Yourself


Generate a 3-by-3 grid and count the pairs without running it first.

Common Beginner Mistakes


  • Assuming break in the inner loop exits both loops.
  • Forgetting that the inner range restarts for each row.
  • Underestimating the number of operations for large nested collections.

Key Takeaways


  • Nested loops run one loop inside another.
  • There are two outer iterations and three inner iterations each, producing six coordinate pairs.
  • Avoid this mistake: Assuming break in the inner loop exits both loops.
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