SQL-like queries

Data analysis fundamentally relies on the ability to efficiently isolate specific subsets of information based on predefined conditions. Within the robust Pandas library, a core component of the scientific Python ecosystem, the most efficient and syntactically clean technique for performing this data subsetting—commonly referred to as filtering—is achieved through the use of the powerful .query()