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Efficient Coding Practices for Mutable Data Structures
Defensive copying and deep copying of structures in languages with heavy mutable data usage are common practices to prevent bugs and data corruption. However, such practices can often be unnecessary and time-consuming. Strategies such as type level control over aliasing and using immutable data structures with a garbage collector can be more efficient alternatives to ensure data integrity and prevent unnecessary copying in code.