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If you have followed any tutorial on data science in Python, chances are that you have heard about a library known as Pandas. Pandas provides a dataframe interface for your data, which is a two-dimensional tabular data structure that "shares many properties with matrices" (in the words of `R`'s definition of dataframes). Dataframes have grown over the years to be an essential component of the modern data scientist’s toolkit.
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