How do I interpret the output of the timeit module in Python?
The output of the timeit module typically shows the best time taken to execute a piece of code. It includes the number of runs and the time per run.
What does the number of runs indicate?
The number of runs indicates how many times the code snippet was executed to get a reliable measurement of its performance.
Is a lower time always better?
Yes, generally a lower time indicates better performance, but it's also important to consider the context and the specific use case.
Can I customize the number of runs in timeit?
Yes, you can customize the number of runs by using the 'number' parameter in the timeit function.
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