In this section, you will learn how to solve linear equations by using the linalg.solve() method. When you have a linear equation to solve, as in the form 
, in simple cases you can just calculate the inverse of A and then multiply it by B to get the solution, but when A has a high dimensionality, that makes it very hard computationally to calculate the inverse of A. Let's start with an example of three linear equations with three unknowns, as follows:
So, these equations can be formalized as follows with matrices:
Then, our problem is to solve 
. We can calculate the solution with a plain vanilla NumPy without using linalg.solve(). After inverting the A matrix, you will multiply with B in order to get results for x. In the following code block, we calculate the dot product for the inverse matrix of A and B in order to calculate 
:
In [44]: A =...
