In this chapter, we learned about various pandas techniques to manipulate and reshape data. We learned how to modify a pandas DataFrame using the inplace parameter. We also learned the scenarios for which you can use the groupby method. We saw how to handle missing values in pandas. We explored indexing in pandas DataFrames, along with renaming and removing columns in a pandas DataFrame. We learned how to work with and transform date and time data. We learned how to handle SettingWithCopyWarning, and also saw how to apply functions to a pandas series or DataFrame. Lastly, we learned how to merge and concatenate multiple DataFrames.

In the next chapter, we'll learn about techniques for visualizing data like a pro, using the seaborn ...

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