Pandas is a data analysis package for python. It was originally developed by AQR Capital Management in April 2008 and was open sourced at the end of 2009. It is currently developed by PyData, which focuses on Python data package development. The development team continues to develop and maintain it as part of the PyData project.
Pandas was originally developed as a financial data analysis tool. Therefore, pandas provides good support for time series analysis. The name Pandas comes from panel data and python data analysis. Panel data is a term for multidimensional data sets in economics, and Pandas also provides the panel data type.
pandas is a dictionary form and a tool based on NumPy that was created to solve data analysis tasks. Pandas incorporates a number of libraries and some standard data models to provide the tools needed to efficiently manipulate large data sets. Pandas provides a large number of functions and methods that allow us to process data quickly and conveniently. You will soon discover that it is one of the important factors that make Python a powerful and efficient data analysis environment.
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