Optimization is to find the best $($Max or Min$)$ solution among a number of possible choices that are feasible and satisfy all the constraints. Some Programming Languages adapted for Data Science and Machine Learning are capable of solving linear and non$-$linear optimization problems such as Python and R$.$ Those languages allow the installation of additional packages that can allow different data analysis and manipulations. In this example, we will examine how Python use the most commonly used Data Science Package SciPy to solve a non$-$linear optimization problem.

The General Form of the Non$-$linear Optimization Problem: