You want to apply a custom function to each element of a large NumPy array efficiently. Which method is best?

hard📝 Application Q9 of 15

SciPy - Integration with Scientific Ecosystem

AUse a Python for loop to apply the function to each element

BUse np.vectorize to apply the function element-wise

CConvert array to list and use map() with the function

DUse np.dot to apply the function

Step-by-Step Solution

Solution:

Step 1: Understand np.vectorize purpose
np.vectorize wraps a Python function to apply element-wise over arrays efficiently.
Step 2: Compare alternatives
Python loops and map() are slower; np.dot is for matrix multiplication, not function application.
Final Answer:
Use np.vectorize to apply the function element-wise -> Option B
Quick Check:
np.vectorize applies functions element-wise efficiently [OK]

Quick Trick: np.vectorize wraps functions for array-wide application [OK]

Common Mistakes:

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