@Punamhans For me, np.newaxis is super helpful when I want to make two arrays compatible for broadcasting.
Like, say I have a column vector and I want to add it to a row vector:
python
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a = np.array([1, 2, 3])[:, np.newaxis] # shape (3, 1)
b = np.array([10, 20, 30]) # shape (3,)
Now I can broadcast a + b.T easily.
Without np.newaxis, I’d have to reshape manually, which feels less readable.