Python pandas is a powerful data analysis library that is widely used by data scientists, statisticians, financial analysts and more. Pandas was created by Wes McKinney who used it to better his data processes while working at a hedge fund. This library simplifies many statistical operations and helps programmers work faster and more efficiently than with just pure python alone. It is widely considered to be one of the main libraries of the python data science stack along with NumPy, SciPy, Scikit-Learn and Jupyter.

Pandas provides a wide range of features that make it an essential tool for data analysis, including:

– Data cleaning and preparation
– Data wrangling
– Makes working with missing data easy
– Data visualizations & analytics
– Exploratory data analysis

Pandas is used by many different types of organizations, including:

– Banks and financial institutions
– Retail companies
– Hedge Funds
– Government organizations
– Technology companies
– Scientific enterprises

Pandas is an open source library that is released under the three-clause BSD license.

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