Clocks
In Data Science, clocks refer to the measurement of time taken by a computer program to execute a specific task. Clocks are used to measure the performance of algorithms and to compare the efficiency of different algorithms. The time taken by a program to execute a task is measured in clock cycles, which is the time taken by the processor to execute one instruction. Clocks are used to analyze the performance of a program and to optimize it for better performance. In addition, clocks are used to measure the time taken by a program to process large datasets and to identify bottlenecks in the program. Clocks are an important tool in Data Science as they help in improving the efficiency of algorithms and in reducing the time taken to process large datasets.
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