How to use a Python timer to measure elapsed time?

General Discussions
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1

How do I use a python timer to measure elapsed time?

I want to measure the time it took to execute a function. I couldn’t get timeit to work:

import timeit
start = timeit.timeit()
print("hello")
end = timeit.timeit()
print(end - start)
2

Using time.time(): You can use time.time() to capture the start and end times and calculate the elapsed time.

import time

start_time = time.time() print(“hello”) end_time = time.time()

print(f"Elapsed time: {end_time - start_time} seconds")

This method uses the time.time() function to get the current time in seconds since the epoch and measures the difference.

3

Hello Everyone,

If you’re looking for precise timing in Python, you can use time.perf_counter(). It’s a high-resolution timer that provides more accurate measurements than time.time() and is especially useful for measuring small time differences.

Here’s a simple example:

import time

start_time = time.perf_counter()
print("hello")
end_time = time.perf_counter()

print(f"Elapsed time: {end_time - start_time} seconds")

In this example, time.perf_counter() measures the time it takes to execute the code block. It’s highly effective for performance testing or benchmarking when you need precise results.

Feel free to try it out in your projects!

Thank you.

4

Wishing you all a great day!

The timeit module is a useful tool for measuring the execution time of small code snippets. Here’s a simple way to use it:

import timeit

def test_function():
    print("hello")

# Measure elapsed time using timeit
elapsed_time = timeit.timeit(test_function, number=1)
print(f"Elapsed time: {elapsed_time} seconds")

In this example, the timeit.timeit() function runs the test_function() once (number=1) and gives you the time it took to execute in seconds.

It’s great for testing performance of small code blocks and helps you optimize your code more effectively.

Thank you!