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Given two NumPy arrays, arr1 and arr2, how can you compute the element-wise product and then sum all results efficiently?

hard📝 Application Q9 of 15
NumPy - Fundamentals
Given two NumPy arrays, arr1 and arr2, how can you compute the element-wise product and then sum all results efficiently?
Anp.dot(arr1, arr2)
Bnp.sum(arr1 * arr2)
Carr1 + arr2
Dnp.multiply(arr1, arr2)
Step-by-Step Solution
Solution:

  1. Step 1: Compute element-wise product

    arr1 * arr2 or np.multiply(arr1, arr2) gives element-wise product.

  2. Step 2: Sum all elements

    Use np.sum() on the product array to get total sum.

  3. Final Answer:

    np.sum(arr1 * arr2) -> Option B

  4. Quick Check:

    Element-wise product sum = A [OK]
Quick Trick: Sum element-wise product with np.sum(arr1 * arr2) [OK]
Common Mistakes:
  • Using np.dot which does matrix multiplication
  • Adding arrays instead of multiplying
  • Using np.multiply without summing

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