In this chapter, we learned about retrieving, processing, and storing data in different formats. The formats include the CSV, NumPy .npy format, Python pickle, JSON, RSS, and HTML. We used the NumPy pandas, json, feedparser, and Beautiful Soup libraries.

The next chapter Chapter 6, Data Visualization, is about the important topic of visualizing data with Python. Visualization is something we often do when we start analyzing data. It helps to display relations between variables in the data. By visualizing the data, we can also get an idea about its statistical properties.