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Maximize Stack Usage to Minimize Overhead
Knowing the memory characteristics of data types is crucial for optimal performance in programming. Regular data types like integers and floats are allocated on the stack, which allows for predictable memory use and automatic cleanup when functions return. In contrast, dynamic data structures like maps and slices allocate memory on the heap due to their variable size, introducing complications such as garbage collection management. To enhance efficiency, prioritize stack allocation wherever possible, limiting heap use to cases where pointers are necessary, as this minimizes garbage collection overhead and improves performance. Understanding how function arguments utilize stack space aids in writing efficient, clean code.