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Code Used :-
Transpose Matrix without using NumPy

def transpose_matrix(matrix):
rows = len(matrix)
cols = len(matrix[0])

Create an empty matrix with swapped dimensions
transpose = [[0] * rows for _ in range(cols)]

for i in range(rows):
for j in range(cols):
transpose[j][i] = matrix[i][j]

return transpose

Example usage
matrix = [
[1, 2, 3],
[4, 5, 6]
]
result = transpose_matrix(matrix)

print("Original Matrix:")
for row in matrix:
print(row)

print("\nTransposed Matrix:")
for row in result:
print(row)

🕒 Time Complexity: O(rows × cols) — we visit each element once
📦 Space Complexity: O(rows × cols) — for storing the transposed matrix

✅ Ideal for Python beginners, data structure learners, and interview candidates.

💡 This approach is simple, clear, and avoids extra dependencies like NumPy.

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