Summary

This chapter covered manipulation techniques of advanced data structures such as stacks and queues. We then focused on different methods of functional programming, including iterators, and combined lists and functions together. Later, we looked at OS-level functions and the management of environment variables. We examined how, using Python, we can open, close, and even write to local files in a variety of ways. Knowing how to deal with files in a clean way is a critical skill in a data wrangler's repertoire. Toward the end, we tested our newly learned skills by creating our own CSV parser.

In the next chapter, we will be dealing with the three most important libraries, namely NumPy, pandas, and matplotlib.