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Pandas is a Python library comprising high-level data structures and tools that has designed to help Python programmers to implement robust data analysis. The utmost purpose of Pandas is to help us identify intelligence in data. Pandas is in practice in a wide range of academic and commercial domains, including finance, neurosciences, economics, statistics, advertising, and web analytic.
Pandas has become one of the most favored tools for data scientists to illustrate data for manipulation and analysis. Pandas is generally used in unit with numerical computing tools like NumPy and SciPy, analytical libraries such as statsmodels and scikit-learn, and data visualization libraries such as matplotlib.

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