O'Reilly logo

Python Data Analysis by Ivan Idris

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Summary

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.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required