Loop performance refers to the efficiency and effectiveness of loops in a computer program or algorithm. It is a critical aspect of programming, especially in contexts where loops are used for repetitive tasks, such as iterating over data structures, performing calculations, or processing large datasets. Key factors that influence loop performance include: 1. **Execution Time**: This refers to how long a loop takes to complete its iterations. It can be measured in terms of time complexity, typically expressed using Big O notation (e.g.
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