NumPy Arrays and Broadcasting
The ndarray is a fixed-dtype, strided memory block, so vectorized array operations dispatch to compiled loops and beat Python-level iteration by orders of magnitude. Broadcasting aligns trailing dimensions to combine differently shaped arrays without copying, and slicing returns views that share memory with the parent rather than copies.
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The ndarray is a fixed-dtype, strided memory block, so vectorized array operations dispatch to compiled loops and beat Python-level iteration by orders of magnitude. Broadcasting aligns trailing dimensions to combine differently shaped arrays without copying, and slicing returns views that share memory with the parent rather than copies.
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