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matrix transpose in python refers to the operation of flipping a matrix over its diagonal, so that the row and column indices are swapped. this means that the rows of the original matrix become the columns of the transposed matrix, and vice versa.

to transpose a matrix in python, you can use nested list comprehension or the `zip` function along with the `*` operator to unpack the rows of the matrix.

here is an example of how to transpose a matrix using nested list comprehension:



in this example, the `transpose_matrix` function takes a matrix as input, determines the number of rows and columns, and then constructs the transposed matrix using nested list comprehension.

alternatively, you can achieve the same result using the `zip` function along with the `*` operator:



both approaches will produce the transposed matrix:



transposing a matrix can be useful in various applications, such as matrix operations, image processing, and machine learning algorithms.

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