Practical guide for both SQL and Pandas

Pandas is a Python library for data analysis and manipulation. SQL is a programming language that is used to handle relational databases. What they have in common is that both Pandas and SQL operate on tabular data (i.e. tables consist of rows and columns).

Since both Pandas and SQL deal with tabular data, similar operations or queries can be completed using either one. In this article, we will rewrite SQL queries with Pandas syntax. Thus, it will be a practical guide for both of them.

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