NumPy’s Fastest Trick: It Doesn’t Copy
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NumPy’s Fastest Trick: It Doesn’t Copy
This diagonal looks like NumPy is selecting and copying values one by one. But that is not what happens. NumPy can create a view by changing the array’s strides — the number of bytes it jumps through memory. So instead of moving data, NumPy can simply say: Start here. Jump 40 bytes. Repeat. That is why NumPy can feel so fast. Subscribe for ...
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