reshape, ravel, flatten, transpose, swapaxes, and expand_dims change view versus copy semantics. We cover the rules of total element count, common pitfalls with resize versus reshape, and stacking with concatenate, vstack, and hstack. By the end you can confidently prepare tensors for conv layers or tabular feature matrices without surprise aliases.
