In this chapter, we have mastered all the different methods to compute differentiation and integration of functions. We learned that the scipy libraries have very robust routines to compute approximations of all these operations numerically (wrapping efficient Fortran libraries when necessary). We also learned that it is possible to access other libraries in the SciPy stack to perform the operations in a symbolic or an automatic way.
In the next chapter, we will explore the theory and methodology to solve equations or systems of equations, in the context of nonlinear functions, as well as computing extrema for optimization purposes.
