NumPy ufunc stands for NumPy universal function. In NumPy library mathematical functions are termed as universal functions and multiple universal functions are provided which could cover a variety of operations. NumPy unfunc is a vectorized wrapper which takes a fixed number of inputs and produce fixed number of output(s). Vectorized operations are accomplished by applying an operation on an array which is then applied to each element separately. NumPy ufunc ensure much faster execution by pushing the loop into compiled layer. NumPy ufunc includes
The NumPy ufunc decrease the size and complexity of code and allows programmers to achieve desired output in a quick and easy way. Ufuncs have following characteristics
array_a = array_b+array_c
Vectorization is much faster way while carrying out the mathematical operations, using ufuncs the vectorization is performed with minimal line of code and optimum efficiency. The ufuncs provides multiple methods which facilitate in computation. The ufuncs can be given additional parameters like “where”, “dtype” and “out”, hence facilitating the programmers to optimize code with minimal time consumption.
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