line profiler python example
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certainly! line profiling is a useful technique in python for analyzing the performance of your code at a line-by-line level. the line_profiler module is a popular tool for this purpose. in this tutorial, we'll go through the process of installing and using line_profiler with a simple python example.
you can install line_profiler using the following command:
let's create a simple python script named example.py that we'll use for profiling:
this script calculates fibonacci numbers using a recursive function.
create a new script named profile_script.py and add the following code:
in this script, we import the lineprofiler class from line_profiler and the main function from our example.py script. we then create an instance of lineprofiler, add the main function to it, and enable profiling before calling the main function. after the function has executed, we disable profiling and print the statistics.
execute the profile_script.py script:
this will output detailed statistics about the execution time of each line in the main function, allowing you to identify performance bottlenecks.
using line_profiler can help you pinpoint performance issues in your python code at a granular level. it's a valuable tool for optimizing code and understanding how much time is spent on each line of your functions.
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