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Pandas, short for panel data, is a very popular library used to process data whilst coding in the Python programming language. Written by Wes McKinney, pandas is an open source library that is used by data analysts, data scientists, and developers. Pandas was written in the Python programming language and is used for data manipulation and analysis. This library is built on top of other popular libraries in the scientific Python ecosystem such as NumPy and matplotlib.
Pandas is a popular open-source Python library used for data manipulation, analysis, and cleaning. This library provides data structures for efficiently storing and manipulating large and complex datasets, and has a wide range of functions for data cleaning, exploration, and transformation.
The two main data structures in Pandas are Series and DataFrame. A Series is a one-dimensional labelled array that can hold any data type, including numeric, string, and object data. A DataFrame is a two-dimensional table with rows and columns that can contain a mix of different data types. DataFrames can be thought of as spreadsheets, where each row represents an observation or sample, and each column represents a feature or variable.
Pandas also includes a wide range of functions for data manipulation and transformation, including functions for filtering and sorting…
