Have you ever thought about using SQL with Pandas? Give it a try
In the last tutorial of valuable operations in Pandas, we worked with a single object, a Series, DataFrame, or Array in NumPy — always an object. What if we need to work with more than one object?
SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
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