You have a large numpy array arr of size 1 million elements. You want to add 10 to each element efficiently. Which approach is best?

hard📝 Application Q8 of 15

NumPy - Array Operations

You have a large numpy array arr of size 1 million elements. You want to add 10 to each element efficiently. Which approach is best?

AUse <code>arr += 10</code> to modify in-place

BConvert to list, add 10, then convert back

CUse a for-loop to add 10 to each element

DUse <code>arr = arr + 10</code> to create a new array

Step-by-Step Solution

Solution:

Step 1: Compare memory usage of methods
Creating a new array duplicates memory, costly for large arrays.
Step 2: Identify in-place operation benefits
Using '+=' modifies original array without extra memory.
Step 3: Evaluate other methods
For-loop and list conversion are slower and less efficient.
Final Answer:
Use arr += 10 to modify in-place -> Option A
Quick Check:
In-place '+=' is best for large array efficiency [OK]

Quick Trick: Use '+=' for large arrays to save memory and time [OK]

Common Mistakes:

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