Question 8 In practice, for larger systems, one never solves a linear system by hand as there are software packages that can do this for you - such as numpy in Python.

Use this code block to see numpy invert a matrix.

You can try to invert any matrix you like. Try it out on your answers to the previous question.

In general, one shouldn't calculate the inverse of a matrix unless absolutely necessary. It is more computationally efficient to solve the linear algebra system if that is all you need.

Use this code block to solve the following linear system with numpy. Ar=sA \mathbf{r} = \mathbf{s}Ar=s,

4623412813abc=972