How to transpose a matrix using zip in python shorts

transposing a matrix in python can be easily accomplished using the built-in `zip` function. a matrix is typically represented as a list of lists, where each inner list represents a row of the matrix. transposing the matrix means converting its rows into columns and vice versa.

here's a step-by-step tutorial on how to do this:

### step-by-step guide to transpose a matrix using `zip`

1. **understand the matrix structure**:
a matrix can be visualized as follows:

the transposed version of this matrix would be:


2. **use the `zip` function**:
the `zip` function can be used to group elements from multiple iterables. when applied to a matrix, it can be used to group by columns.

3. **convert to list**:
since `zip` returns an iterator, you will often want to convert the result back into a list.

### example code

here is a complete example demonstrating how to transpose a matrix using the `zip` function:

### explanation of the code

- **matrix definition**: we start by defining a 3x3 matrix as a list of lists.
- **transposing**: `zip(*matrix)` uses the unpacking operator `*` to unpack the rows of the matrix into separate arguments for `zip`. this effectively groups the first elements from each row together, then the second elements, and so on.
- **converting to list**: the result of `zip` is a series of tuples, so we convert each tuple back into a list for easier handling.
- **output**: finally, we print the original and transposed matrices.

### output

when you run the code, the output will be:

### conclusion

using `zip` to transpose a matrix in python is both efficient and concise. this method is particularly useful for small to medium-sized matrices and leverages python's powerful built-in functions for clean and readable code.

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