This chapter was about matplotlib—a Python plotting library. We covered simple plots, histograms, plot customization, subplots, three-dimensional plots, contour plots, and logarithmic plots. You also saw a few examples of displaying stock charts. Obviously, we only scratched the surface and just saw the tip of the iceberg. matplotlib is very feature rich, so we didn't have space to cover Latex support, polar coordinates support, and other functionality.
The author of matplotlib, John Hunter, passed away in August 2012. One of the technical reviewers of this book suggested mentioning the John Hunter Memorial Fund (http://numfocus.org/news/2012/08/28/johnhunter/). The memorial fund set up by the NumFocus Foundation is an opportunity for us, fans of John Hunter's work, to "give back". Again, for more details, check out the preceding link to the NumFocus website.
The next chapter is about SciPy—a scientific Python framework that is built on top of NumPy.