How does Timeit compare to other timing tools?

How does Timeit compare to other timing tools?

Timeit is a built-in Python module that provides a simple way to time small bits of Python code. It’s often favored for its ease of use and accuracy. Other timing tools, like cProfile or time, offer more detailed profiling but can be more complex to use. What specific features are you interested in comparing?

I'm interested in accuracy and ease of use.

In terms of accuracy, Timeit is generally very reliable for measuring execution time of small code snippets. It runs the code multiple times to get a more accurate average. For ease of use, Timeit is straightforward with a simple API, while tools like cProfile may require more setup but provide more detailed insights. Would you like to know how to use Timeit?

Yes, how do I use Timeit in my code?

You can use Timeit by importing it and calling the timeit() function. For example:

import timeit

timer = timeit.timeit('code_to_test()', number=1000)
print(timer)

This will run code_to_test() 1000 times and return the total time taken. Would you like more examples?

That would be great! Can you provide a simple example?

Sure! Here’s a simple example:

import timeit

def test_function():
    return sum(range(100))

execution_time = timeit.timeit(test_function, number=1000)
print(f'Execution time: {execution_time}')

This will time how long it takes to run test_function() 1000 times. Let me know if you have any other questions!