NumPy - Array Data Types
Which NumPy float type provides the highest precision?
Which NumPy float type provides the highest precision?
easy📝 Conceptual Q1 of 15
Step-by-Step Solution
Solution:
Step 1: Understand float types and precision
Float64 uses 64 bits, float32 uses 32 bits, and float16 uses 16 bits. More bits mean higher precision.Step 2: Compare bit sizes and precision
Float64 has the largest bit size, so it provides the highest precision among the options.Final Answer:
float64 provides the highest precision -> Option DQuick Check:
Highest precision = float64 [OK]
Quick Trick: More bits mean higher precision in float types [OK]
Common Mistakes:
- Confusing float16 as more precise
- Thinking float32 has higher precision than float64
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