Web Reference: Dec 10, 2025 · Vectorization in NumPy refers to applying operations on entire arrays without using explicit loops. These operations are internally optimized using fast C/C++ implementations, making numerical computations more efficient and easier to write. We’ll provide detailed explanations, practical examples, and insights into how vectorization integrates with related NumPy features like universal functions, array broadcasting, and array reshaping. The vectorized function evaluates pyfunc over successive tuples of the input arrays like the python map function, except it uses the broadcasting rules of numpy.
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