How Can Python\'s `timeit` Module Be Used to Compare Code Execution Times?

Time Performance Comparison with the timeit Module

The timeit module is a powerful tool for measuring the performance of code snippets. It can be used to compare the execution times of different algorithms or implementations.

Interactive Usage

In an interactive Python session, there are two ways to use timeit:

1. IPython Shell: The IPython shell provides a special %timeit function:

In [1]: def f(x):
   ...:     return x*x
   ...: 

In [2]: %timeit for x in range(100): f(x)
100000 loops, best of 3: 20.3 us per loop

2. Standard Python Interpreter: In a standard Python interpreter, you can import functions defined earlier in the session from the main module:

>>> def f(x):
...     return x * x 
... 

>>> import timeit
>>> timeit.repeat("for x in range(100): f(x)", "from __main__ import f", number=100000)
[2.0640320777893066, 2.0876040458679199, 2.0520210266113281]

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