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NumPy and Pandas are the Python libraries which are used to manipulate, process and analyse the data. They don't have constructs which can be used to visualize the data, for that we can use another library from Python called matplotlib.
Pandas provide a high-performance, easy-to-use data structures and data analysis tools.
The DataFrame is the main and widely used data structure of the Pandas library.
DataFrame is a kind of in-memory 2-D table (similar to Excel sheet) with rows and columns.
Using DataFrames, we can create pivot tables (just like Excel sheet), compute one column value using values of other columns, etc.
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