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All Puzzle. All Multiplayer. All Action. All Adventure. For you. Pandas is an open-source, BSD-licensed Python library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
Python with Pandas is used in a wide range of fields including academic and commercial domains including finance, economics, Statistics, analytics, etc.
In this tutorial, we will learn the various features of Python Pandas and how to use them in practice. This tutorial has been prepared for those who seek to learn the basics and various functions of Pandas.
As you can see with the new brics DataFrame, Pandas has assigned a key for each country as the numerical values 0 through 4.
If you would like to have different index values, say, the two letter country code, you can do that easily as well.
Another way to create a DataFrame is by importing a csv file using Pandas. Now, the csv cars. There are several ways to index a Pandas DataFrame.
One of the easiest ways to do this is by using square bracket notation. In the example below, you can use square brackets to select one column of the cars DataFrame.

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