The best method depends on factors such as the size of the matrix, the specific requirements of your program, and the available libraries. If you are working with numerical data and need performance optimisations, NumPy's transpose() function is often the preferred choice. For smaller matrices or general-purpose applications, the zip() function or a nested list comprehension can be effective and straightforward solutions.