NumPy handles multi-dimensional data using its ndarray object, which can hold arrays with as many dimensions as needed. With functions like reshape and transpose, you can easily rearrange data. Features such as indexing, slicing, and broadcasting enable efficient data manipulation and computation, making NumPy ideal for working with tensors, matrices, and data in science or machine learning.
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