timeit
Module?
timeit
to Measure Execution Time
timeit
with Setup Code
timeit
from the Command Line
timeit
The timeit
module in Python is a built-in tool for measuring the execution time of small code snippets. It's designed to provide accurate timing information to help developers benchmark and optimize code performance. By running code multiple times and computing average execution times, timeit
ensures that results are reliable and not skewed by anomalies.
In this article, we'll explore the features of the timeit
module, how to use it for benchmarking code, and practical examples to illustrate its application.
timeit
Module?The timeit
module is a Python standard library tool used to measure the execution time of code snippets. It’s particularly useful for benchmarking small pieces of code to compare performance and identify bottlenecks. The module provides functionality to run code repeatedly, calculate average execution times, and handle setup code.
timeit
Moduletimeit
to Measure Execution TimeTo use timeit
, you need to define the code snippet you want to measure and optionally include setup code. The module will then run the code multiple times and return the average execution time.
code_to_time
variable contains the code snippet you want to measure.timeit.timeit()
runs the code snippet 1000 times (specified by the number
parameter) and returns the total execution time.timeit
with Setup CodeWhen measuring execution time, you may need to include setup code to prepare the environment. The timeit
module allows you to specify setup code that runs once before the timing begins.
setup_code
is executed once before the timing starts.code_to_time
snippet is then run multiple times, and its execution time is measured.timeit
from the Command LineThe timeit
module also provides a command-line interface for quick benchmarks without writing a script.
**-s**
: Specifies the setup code.**"result = [math.sqrt(x) for x in range(1000)]"**
: The code snippet to be timed.timeit