NumPy - Array Data TypesWhich 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>Check Answer
Step-by-Step SolutionSolution:Step 1: Understand integer type sizesEach 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.Step 2: Identify the smallest sizeSince 8 bits is the smallest size, int8 uses the least memory.Final Answer:int8 -> Option CQuick 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 typesThinking int64 uses less memoryAssuming int32 is smallest
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