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Why does a NumPy array require all elements to be of the same data type?

hard📝 Conceptual Q10 of 15
SciPy - Basics and Scientific Computing
Why does a NumPy array require all elements to be of the same data type?
ATo optimize memory usage and speed of operations
BBecause Python lists do not allow mixed types
CTo make arrays compatible with text data only
DTo prevent any numerical calculations
Step-by-Step Solution
Solution:

  1. Step 1: Understand NumPy array design

    NumPy arrays store data in contiguous memory blocks for efficiency.

  2. Step 2: Explain uniform data type requirement

    Having the same data type allows fast, vectorized operations and less memory overhead.

  3. Final Answer:

    To optimize memory usage and speed of operations -> Option A

  4. Quick Check:

    Uniform data type = efficiency and speed [OK]
Quick Trick: Same type means faster math and less memory [OK]
Common Mistakes:
MISTAKES
  • Confusing with Python list behavior
  • Thinking arrays only hold text
  • Believing arrays prevent calculations

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