The table below summarizes some of the main differences between these three data structures.

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Unlike the arrays supported by NumPy, the columns in a DataFrame can be of all different types. You can have one column holding string values, another column holding a date, another column holding a floating point number and so on.

Pandas Dataframe vs. numpy.array

W3Schools offers online tutorials about different parts of programming in Python: https://www.w3schools.com/python/default.asp

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