Python 3.7 introduces 6 new time functions with nanosecond resolution, for example instead of time.time() you can use time.time_ns():

import time
print(time.time())
# 1522915698.3436284
print(time.time_ns())
# 1522915698343660458

These 6 functions are described 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.

Python 3.7 introduces 6 new time functions with nanosecond resolution, for example instead of time.time() you can use time.time_ns() to avoid floating point imprecision issues:

import time
print(time.time())
# 1522915698.3436284
print(time.time_ns())
# 1522915698343660458

These 6 functions are described 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.

Python 3.7 introduces 6 new time functions with millisecond precision, for example instead of time.time() you can use time.time_ns():

import time
print(time.time())
# 1522915698.3436284
print(time.time_ns())
# 1522915698343660458

These 6 functions are described 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.

Python 3.7 introduces 6 new time functions with nanosecond resolution, for example instead of time.time() you can use time.time_ns():

import time
print(time.time())
# 1522915698.3436284
print(time.time_ns())
# 1522915698343660458

These 6 functions are described 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.