What is the purpose of numpy.dot in Python?

The numpy.dot function is used to calculate the dot product or matrix product of two arrays.

The dot function calculates the dot product of two one-dimensional arrays by multiplying corresponding elements and summing the results to obtain a scalar.

When the input arrays are two-dimensional, the dot function will calculate the matrix product by multiplying the two arrays according to the rules of matrix multiplication. The number of columns in the first array must be equal to the number of rows in the second array, otherwise a ValueError exception will be raised.

When the input arrays are multi-dimensional, the dot function will first flatten them into one-dimensional arrays, and then calculate the product according to the rules mentioned above.

The dot function can be used to calculate the inner product of vectors, matrix multiplication, and the product of multidimensional arrays.