Summary
This chapter was a brief summary of some of the most fundamental libraries of Python that do a lot of heavy lifting for us when we deal with text and other data. NumPy helps us in dealing with numeric operations and the kind of data structure required for some of these. SciPy has many scientific operations that are used in various Python libraries. We learned how to use these functions and data structures.
We have also touched upon pandas, which is a very efficient library for data manipulation, and has been getting a lot of mileage in recent times. Finally, we gave you a quick view of one of Python's most commonly used visualization libraries, matplotlib.
In the next chapter, we will focus on social media. We will see how to capture data ...
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