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Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science.
If we wanted to transpose the axes of this array in Python, we’d need to write a loop of some kind. NumPy allows us to do this kind of operation with a single command: x2 = np.transpose(x1) ...
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