![For Loop Syntax and Example
• Syntax:
• for item in sequence:
• # code block
• Example:
• fruits = ['apple', 'banana', 'cherry']
• for fruit in fruits:
• print(fruit)](https://image.slidesharecdn.com/loopsinpython-250106065709-1e880b4c/85/Loops_in_Python-pptx05g830mp6m-freeml-net-6-320.jpg)
![Nested Loops
• • A loop inside another loop.
• • Useful for iterating over multi-dimensional
data.
• Example:
• matrix = [[1, 2], [3, 4]]
• for row in matrix:
• for element in row:
• print(element)](https://image.slidesharecdn.com/loopsinpython-250106065709-1e880b4c/85/Loops_in_Python-pptx05g830mp6m-freeml-net-8-320.jpg)
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- 1. Loops in Python Understanding Repetition Structures and Their Types
- 2. Agenda • 1. What are Loops? • 2. Why are Loops Important? • 3. Types of Loops in Python • 4. Syntax and Examples of For Loop • 5. Syntax and Examples of While Loop • 6. Nested Loops • 7. Use Cases of Loops • 8. Best Practices • 9. Common Mistakes
- 3. What are Loops? • • Loops are control flow statements that repeat a block of code. • • They continue until a specified condition is met or a sequence is exhausted. • • Essential for automating repetitive tasks.
- 4. Why are Loops Important? • • Eliminate code redundancy by automating repetition. • • Increase efficiency and readability of programs. • • Useful in handling large datasets, performing calculations, and more.
- 5. Types of Loops in Python • 1. For Loop • - Iterates over items of a sequence (list, tuple, etc.). • 2. While Loop • - Repeats as long as a condition evaluates to True. • 3. Nested Loops • - Loops inside another loop.
- 6. For Loop Syntax and Example • Syntax: • for item in sequence: • # code block • Example: • fruits = ['apple', 'banana', 'cherry'] • for fruit in fruits: • print(fruit)
- 7. While Loop Syntax and Example • Syntax: • while condition: • # code block • Example: • count = 0 • while count < 5: • print(count) • count += 1
- 8. Nested Loops • • A loop inside another loop. • • Useful for iterating over multi-dimensional data. • Example: • matrix = [[1, 2], [3, 4]] • for row in matrix: • for element in row: • print(element)
- 9. Best Practices and Common Mistakes • Best Practices: • • Use descriptive variable names. • • Avoid infinite loops by ensuring conditions change. • • Minimize nesting to improve readability. • Common Mistakes: • • Forgetting to update variables in while loops. • • Misusing break/continue statements.
- 10. Summary • • Loops are essential for efficient programming. • • Python provides For, While, and Nested loops. • • Follow best practices to write clean and bug- free code.