What will the following code result in?
import numpy as np
A = np.array([12, 23])
B = np.array([10, 20])
print(A - B)

Correct option is A

The code performs element-wise subtraction between two NumPy arrays, A and B. Here's the breakdown:
· A = np.array([12, 23]): This creates the array A with elements [12, 23].
· B = np.array([10, 20]): This creates the array B with elements [10, 20].
· A - B: This performs element-wise subtraction between corresponding elements of the arrays A and B.
So, for each index i:
· 12 - 10 = 2
· 23 - 20 = 3
Thus, the result of A - B will be [2, 3].
Important Key Points:
1. Element-wise Operation: In NumPy, operations like subtraction are performed element-wise, meaning each corresponding pair of elements in A and B are operated on individually.
2. Resulting Array: The result will be a new array of the same shape as A and B, with the corresponding subtracted values.
3. Arrays with Same Shape: NumPy operations require that the arrays being operated on have the same shape, otherwise, they would throw an error (unless broadcasting rules apply).
Knowledge Booster:
· Option (b): This is incorrect because it represents a matrix-like structure, but the operation A - B is element-wise and results in a 1D array, not a 2D matrix.
· Option (c): This is incorrect as well. The arrays A and B will not change positions and this does not match the result of element-wise subtraction.
· Option (d): This is incorrect because the correct subtraction results in [2, 3], not [2, 3] as in a matrix form. The provided answer matches, but the formatting is incorrect as well.