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Which numpy integer type uses the least amount of memory?

easy📝 Conceptual Q11 of 15
NumPy - Array Data Types
Which numpy integer type uses the least amount of memory?
A<code>int64</code>
B<code>int16</code>
C<code>int8</code>
D<code>int32</code>
Step-by-Step Solution
Solution:
  1. Step 1: Understand integer type sizes

    Each numpy integer type uses a different number of bits: int8 uses 8 bits, int16 uses 16 bits, int32 uses 32 bits, and int64 uses 64 bits.
  2. Step 2: Identify the smallest size

    Since 8 bits is the smallest size, int8 uses the least memory.
  3. Final Answer:

    int8 -> Option C
  4. Quick Check:

    Smallest bits = int8 [OK]
Quick Trick: Smaller int types use fewer bits and less memory [OK]
Common Mistakes:
  • Confusing int8 with int16 or larger types
  • Thinking int64 uses less memory
  • Assuming int32 is smallest

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