Joins in sql, Pandas in python etc

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Accepted Answer

Joins in SQL and Pandas in Python are used for combining data from multiple sources.

Joins in SQL are used to combine data from two or more tables based on a common column.
Pandas merge function is used to combine dataframes based on one or more common columns.
Inner join, left join, right join, and full outer join are common types of joins in SQL.
Pandas merge function has options for different types of joins such as inner, left, right, and outer.
Joins are useful for analyzing data from multiple sources and creating a single dataset for analysis.