#PYTHON COUNT RUN TIME HOW TO#
#PYTHON COUNT RUN TIME CODE#

Over 100 thousand students so far have used the course to learn Python programming and to build real-world applications in Python 3. The Python Mega Course is the most practical course you will find on the web nowadays. You can start learning Python the fun way by building 10 amazing Python apps by buying my premium Udemy course The Python Mega Course: Build 10 Real-World Applications. Lastly, a tip: Close heavy programs that are running on your computer when you do such tests, so you get even more accurate results that are not affected by heavy processor tasks.ĭo you struggle to create real-world applications with Python?

#PYTHON COUNT RUN TIME CODE#

If you have nothing else to do and fancy an exercise, try measuring the execution time of the above code using timeit() to see if a list comprehension is better than a for loop. I can achieve the same result using a list comprehension: a = range(100000) timeit() repeats the test many times (100 times in our case) to minimize the influence of other tasks running on your operating system.īy the way, the code we tested above builds a list by multiplying the items of another list. timeit() disables the garbage collector, which could otherwise skew the results.ģ. However, timeit() will automatically use either time.clock() or time.time() for you in the background, depending on what operating system you have to give you the most accurate results.Ģ. You can also use time.clock() if you are on Windows and time.time() if you are on Mac or Linux instead of using timeit(). Why is timeit() the best way to measure the execution time of Python code?ġ. The result is the execution time in seconds. Line 11: We simply print out the execution time. Therefore, I had to divide the output by 100 to get the execution time for only one cycle. To get an accurate time, I ordered timeit() to perform 100 cycles. The timeit() function will get the test code as an argument, executes it and records the execution time.

Line 10: We call the time.timeit() function. So, the test code is provided as a string. This code has to go inside triple quotes. In that variable, we are storing the code we want to test. So, that’s more or less 1/100 of a second. That’s the output I get on my Macbook Pro. There are a few ways to measure the time it takes for a Python script to execute, but here’s the best way to do it and I will explain why: import timeitĮlapsed_time = timeit.timeit(code_to_test, number=100)/100 Let’s say you want to know the execution time of the following Python code: a = range(100000)

#PYTHON COUNT RUN TIME HOW TO#

How to measure the execution time of a Python script

Python count run time