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Why is NumPy preferred over Python lists for numerical computations?

hard📝 Conceptual Q10 of 15
NumPy - Fundamentals
Why is NumPy preferred over Python lists for numerical computations?
ANumPy arrays use less memory and provide faster operations
BPython lists are immutable
CNumPy arrays can store mixed data types
DPython lists support multi-dimensional arrays natively
Step-by-Step Solution
Solution:

  1. Step 1: Compare memory usage

    NumPy arrays store data more compactly than Python lists.

  2. Step 2: Compare operation speed

    NumPy uses optimized C code for faster numerical operations.

  3. Final Answer:

    NumPy arrays use less memory and provide faster operations -> Option A

  4. Quick Check:

    NumPy is faster and memory efficient [OK]
Quick Trick: NumPy is faster and uses less memory than lists [OK]
Common Mistakes:
  • Thinking Python lists are immutable
  • Believing NumPy supports mixed types
  • Assuming lists support multi-dimensional arrays

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