Nested Loop In Python
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Lecture 44:- Nested Loop In Python
In Python, a nested loop is a loop that is placed inside another loop. This allows you to execute one loop multiple times while the outer loop is running. Nested loops are commonly used when you need to perform repetitive tasks on multi-dimensional data structures like lists of lists or matrices.
The general syntax of a nested loop is as follows:
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for outer_item in outer_sequence: # Code block for the outer loop for inner_item in inner_sequence: # Code block for the inner loopThe inner loop executes completely for each iteration of the outer loop. For example, if the outer loop runs 3 times and the inner loop runs 4 times, the code inside the inner loop will execute 3 x 4 = 12 times in total.
Here's an example of a nested loop:
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# Creating a 3x3 matrix as a list of lists matrix = [ [1, 2, 3], [4, 5, 6], [7, 8, 9] ] # Nested loop to print each element in the matrix for row in matrix: for element in row: print(element, end=' ') print() # Print a new line after each rowOutput:
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1 2 3 4 5 6 7 8 9In this example, we have a 3x3 matrix represented as a list of lists. The outer loop iterates over each row of the matrix, and the inner loop iterates over each element within that row. The
print()statement is used to print each element of the matrix on the same line, and a new line is printed after each row is processed.Nested loops are a powerful way to work with multi-dimensional data and handle repetitive tasks in a structured manner. However, it's essential to be cautious with deeply nested loops, as they can lead to performance issues for large data sets. Always ensure that the nesting is necessary for your specific use case.
- 1. Background Part 1 (IO Devices, CPU and Memory) In Python
- 2. Background Part 2 (Computer Organization & Operating System) In Python
- 3. Why Do We Need Programming Languages in Python
- 4. Python Introduction in Python
- 5. Python Standard and Implementations in Python
- 6. How Python Programs are Executed
- 7. Python Programming Terminology
- 8. Python Installation and First Program
- 9. Comments in Python
- 1. Arithmetic Operators in Python
- 2. Logical Operators in Python
- 3. Identity Comparison Operators in Python
- 4. Membership Test Operators in Python
- 5. Bitwise Operators in Python Part 1
- 6. Bitwise Operators In Python Part 2
- 7. Arithmetic Progression nth Term in Python
- 8. Geometric Progression nth Term in Python
- 9. Sum Of Natural numbers In Python
- 10. Find Last Digit In Python
- 11. Day Before N Days In Python
- 1. Loops In Python
- 2. While Loops In Python
- 3. range() In Python
- 4. For Loop In Python
- 5. Table Of A Number In Python
- 6. Break In Python
- 7. Continue In Python
- 8. Nested Loop In Python
- 9. Square Pattern In Python
- 10. Printing Triangle Pattern In Python
- 11. Inverted Triangle In Python
- 12. Pyramid Pattern In Python
- 13. Count Digits In Python
- 14. Factorial In Python
- 15. GCD In Python
- 16. LCM In Python
- 17. Fibonacci Numbers In Python
- 18. Check For Prime In Python
- 19. All Divisors In Python
- 20. Optimizations Of All Divisors And Prime Python
- 1. Strings In Python
- 2. Escape Sequences And Raw Strings Python
- 3. Formatted String In Python
- 4. String Operations Part(1) In Python
- 5. String Operations Part(2) In Python
- 6. String Comparison in Python
- 7. Pattern Searching In Python
- 8. Check For Palindrome In Python
- 9. Reverse A String In Python
- 10. Decimal to Binary In Python
- 11. Binary to Decimal Conversion In Python
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