I don\'t know how to interpret the output from Python\'s timeit.timeit() function. My code is as follows:
import timeit
setup = \"\"\"
import pydash
list_of
The return value is seconds as a float.
It is the total time taken to run the test (not counting the setup), so the average time per test is that number divided by the number
argument, which defaults to 1 million.
See the Time.timeit() documentation:
Time number executions of the main statement. This executes the setup statement once, and then returns the time it takes to execute the main statement a number of times, measured in seconds as a float. The argument is the number of times through the loop, defaulting to one million.