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Introduces named tuples and dataclasses in Python, emphasizing their flexibility and ease of use for data manipulation.
Explores query processing steps, physical plans, pipelined execution, and hashing for projections and joins.
Covers raster-raster integration, map algebra, NDVI calculation, and terrain analysis using relational and logical operators.
Introduces arithmetic, increment, decrement, relational, equality, logical operators, and the ternary conditional operator in C.
Explores boolean types, logical operators, and control structures in Python, emphasizing the evaluation of expressions and the use of relational operators.
Explores knowledge representation, information extraction, and the Semantic Web vision, emphasizing standardization, mapping, and ontologies in structuring data.
Introduces the relational model, SQL, keys, integrity constraints, ER translation, weak entities, ISA hierarchies, and SQL vs. noSQL.
Covers factorisation in PIDs, prime ideals, unique tuples, and common prime factors.
