
Three essential NumPy tricks optimize code: vectorization and broadcasting, in-place operations, and leveraging memory views instead of copies. Broadcasting allows operations on different-shaped arrays without copying data, processing directly in compiled C. In-place operations reduce memory allocations. Memory views avoid unnecessary array copies.
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