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Hands-On Data Analysis with NumPy and pandas by Curtis Miller

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Summary

In this chapter, we covered arithmetic operations with pandas DataFrames, vectorization, and DataFrame function applications. We also learned how to handle missing data in a pandas DataFrame by deleting or filling in missing information. In the next chapter, we will look at sorting, ranking, and common tasks in data analysis projects.

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