In this chapter, we started off by discussing the basic concepts and architecture of matplotlib. After that, we discussed some sample programs used to generate different types of plots. We also covered the methods of saving these plots in files of different formats. Then we discussed the use of pandas in data analysis.

Furthermore, we discussed the data structures of pandas. After covering the uses of data structures in depth, you learned how to perform various other related activities for data analysis. In the last part, we discussed the concepts, uses, and applications of interactive computing using IPython.

In the next chapter, we will have a comprehensive discussion on using Python for scientific computing that involves parallel and high-performance computing. The chapter will cover the basic concepts of parallel and high-performance computing, and the available frameworks and technologies. Later, it will provide an in-depth coverage of the use of Python for parallel and high-performance...