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Python time.time() vs time.perf_counter() - Super Fast Python

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You can use the time.time() function to access the system clock and the time.perf_counter() to benchmark Python code. The time.time() function should no longer be used for benchmarking because it is adjustable, non-monotonic, and lower resolution. Similarly, the time.perf_counter() function should not be used for ad hoc timings such as delays and timeouts because it has a level of precision that is more than is required and may add an unnecessary computational or resource cost. In this tutorial, you will discover the difference between the time.time() and time.perf_counter() and when to use each in your Python projects. Let’s get started. Start Now: Free Python Benchmarking Crash Course Table of Contents The time.time() function reports the number of seconds since the epoch. Return the time in seconds since the epoch as a floating point number. Recall that epoch is January 1st 1970, which is used on Unix systems and beyond as an arbitrary fixed time in the past. In computing, an epoch

Python time.time() vs time.perf_counter() – SuperFastPython Python time.time() vs time.perf_counter() October 1, 2023  Python Benchmarking You can use the time.time() function to access the system clock and the time.perf_counter() to benchmark Python code. The time.time() function should no longer be used for benchmarking because it is adjustable, non-monotonic, and lower resolution. Similarly, the time.perf_counter() function should not be used for ad hoc timings such as delays and timeouts because it has a level of precision that is more than is required and may add an unnecessary compu

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