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Summary

This chapter dealt with many different data formats, and, in the process, many different datasets. We started with the simplest TXT data and accessed the Shakespeare play data. We learned how to read data from CSV files using the csv, numpy, and pandas modules. We moved on to the JSON format; we used Python's JSON and pandas modules to access JSON data. From data formats, we progressed to accessing databases and covered both SQL and NoSQL databases. Next, we learned how to work with the Hadoop File System in Python.

Accessing data is the first step. In the next chapter, we will learn about machine learning tools that will help us to design, model, and make informed predictions on data. 

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