Python's time.clock() vs. time.time() accuracy?

Question

Which is better to use for timing in Python? time.clock() or time.time()? Which one provides more accuracy?

for example:

start = time.clock()
... do          


        

Answer 1

As others have noted time.clock() is deprecated in favour of time.perf_counter() or time.process_time(), but Python 3.7 introduces nanosecond resolution timing with time.perf_counter_ns(), time.process_time_ns(), and time.time_ns(), along with 3 other functions.

These 6 new nansecond resolution functions are detailed in PEP 564:

time.clock_gettime_ns(clock_id)

time.clock_settime_ns(clock_id, time:int)

time.monotonic_ns()

time.perf_counter_ns()

time.process_time_ns()

time.time_ns()

These functions are similar to the version without the _ns suffix, but return a number of nanoseconds as a Python int.

As others have also noted, use the timeit module to time functions and small code snippets.