In this chapter we discussed several case studies of scientific computing applications, libraries, and tools developed using the Python language. We discussed the applications of Python in various areas, including the designing of specialized software and hardware (such as OLPC and ExpEYES) and also designing Python-based embedded systems for lighting systems. We covered some uses of Python in computational chemistry and molecular modeling. We also saw the uses of Python in computer-aided modeling for science and other areas.

In the next chapter, we will discuss the best practices to be followed for the development of scientific computing applications and APIs in general, with a special focus on Python.