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Understanding the Context

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Clarity Everyday Pouch Mini - Mini Clear Leather Pouch | Purse Organizer

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Clarity Everyday Pouch Mini - Mini Clear Leather Pouch | Purse Organizer
Clarity Everyday Pouch Mini - Mini Clear Leather Pouch | Purse Organizer
Clarity Everyday Pouch Mini - Mini Clear Leather Pouch | Purse Organizer
Clarity Everyday Pouch Small - Small Clear Leather Pouch | Purse Organizer
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Key Insights

1 So if you earn $50 cash back, we'll give you another $50. The shape attribute for numpy arrays returns the dimensions of the array. If Y has n rows and m columns, then Y.shape is (n,m). So Y.shape[0] is n. python - What does .shape [] do in "for i in range (Y.shape [0 ...

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Final Thoughts

Shape n, expresses the shape of a 1D array with n items, and n, 1 the shape of a n-row x 1-column array. (R,) and (R,1) just add (useless) parentheses but still express respectively 1D and 2D array shapes, Parentheses around a tuple force the evaluation order and prevent it to be read as a list of values (e.g. in function calls). On the other hand, x.shape is a 2-tuple which represents the shape of x, which in this case is (10, 1024). x.shape[0] gives the first element in that tuple, which is 10. Here's a demo with some smaller numbers, which should hopefully be easier to understand.