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Why does NumPy promote an int32 and a float32 array to float64 during an operation instead of float32?

hard📝 Conceptual Q10 of 15
NumPy - Array Operations
Why does NumPy promote an int32 and a float32 array to float64 during an operation instead of float32?
ABecause float32 is not supported in operations
BTo prevent precision loss during mixed operations
CDue to a bug in NumPy's type promotion
DBecause int32 always promotes to float64
Step-by-Step Solution
Solution:

  1. Step 1: Understand type promotion rationale

    NumPy promotes types to avoid losing precision in calculations.

  2. Step 2: Apply to int32 and float32 case

    Promoting to float64 ensures no precision loss when mixing int32 and float32.

  3. Final Answer:

    To prevent precision loss during mixed operations -> Option B

  4. Quick Check:

    Promotion prevents precision loss [OK]
Quick Trick: Promotion aims to keep precision safe [OK]
Common Mistakes:
  • Thinking float32 is unsupported
  • Blaming bugs for promotion
  • Assuming int32 always promotes to float64

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