In this chapter, we discussed many concepts of mathematical and numerical analysis, including systems of linear and nonlinear equations, optimization, interpolation, extrapolation, numerical differentiation and integration, differential equations, and random number generators.
In the second part of the chapter, we briefly discussed the various packages/toolkits/APIs meant for performing scientific computing in the Python language. We also discussed the functionality and features of NumPy, SciPy, IPython, SymPy, matplotlib, and pandas.
In the next chapter, we will discuss how to prepare and manage data for scientific computations.