Which Python Timing Function is Most Accurate: time.clock() or time.time()?

Python's time.clock() vs. time.time() Accuracy

Python has two functions for timing: time.clock() and time.time(). Which function should you use for accurate timing?

time.clock() has been deprecated in Python 3.3, and it's recommended to use time.process_time() or time.perf_counter() instead.

Previously, in Python 2.7, time.clock() provided high precision for benchmarking Python or timing algorithms. On Unix systems, it returned the current processor time, while on Windows, it returned wall-clock seconds elapsed since the first call to the function.

time.time(), on the other hand, returns the number of seconds since the epoch. This function is not as precise as time.clock(), but it's suitable for measuring elapsed time in most scenarios.

For more accurate timing, the timeit module provides a benchmarking framework that allows you to compare the execution time of different code snippets with fine-grained precision.

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