The numpy.log() is a inbulit mathematical function used to solve problems very quickly. It is used to calculate the natural logarithm of the elements in an array. The natural logarithm is log in base e , that is inverse of the exp(). Here Numpy is a package used for calculating different mathematical operations. SYNTAX: numpy.log(array) …
Numpy.prod() in python is used to compute the product of the array elements over a specified axis. numpy.prod() returns an array with the same shape as the input array, with the specified axis removed. If an output array is specified in the out parameter, a reference to out is returned. SYNTAX of numpy.prod() : numpy.prod(array, …
Numpy.put() replaces specified elements of an array with given values. The indexing works on the flattened target array. We are use Numpy here because it performs a wide variety of mathematical operations on arrays. It also adds powerful data structures to python that guarantee efficient calculations with arrays and matrices and it supplies an enormous …