A matrix transforms a vector into another vector in a linear way. This transformation mathematically corresponds to a system of linear equations. The numpy.linalg function, solve, solves systems of linear equations of the form Ax = b; here A is a matrix, b can be 1D or 2D array, and x is an unknown variable. We will see the dot function in action. This function returns the dot product of two floating-point arrays.