The Easiest Data Cleaning Method using Python & Pandas
pandas-docs/stable/getting_started/10min.htmlThis article explains the basics of using the Python library pandas for data analysis and manipulation.
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Pandas is a library in Python which provides data structures and data analysis tools. It enables users to work with tabular and multidimensional data. It is built on the NumPy package and its key data structure is the DataFrame. DataFrames allow users to store and manipulate data in rows and columns. Pandas also provides tools for data manipulation, cleaning and preparation, and visualization. It also contains high-level statistical and machine learning algorithms. Pandas is designed to be fast and efficient, and it is used in many industries, including finance, economics, statistics, analytics and data science. Pandas is an open source library, meaning anyone can contribute to its development. It is also easy to install and use, making it a popular choice for data analysis.
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