Here is how to profile a script in Python.



Output

 


Explanation

Profiling a Python script means measuring its performance and identifying the parts of the code that are taking the most time to execute. This can help you optimize your code and make it run faster. There are several ways to profile a Python script:

1. cProfile: cProfile is a built-in profiling tool in Python that provides detailed information about the time spent executing each function in the script. To use it, you can run your script with the -m cProfile flag:

python -m cProfile myscript.py
This will print a report showing the time spent in each function, as well as the number of times each function was called.

2. PyCharm Profiler: If you are using PyCharm, it has a built-in profiler that can help you identify performance bottlenecks in your code. To use it, you can open your script in PyCharm, click on Run > Profile, and select the profiling options you want.

3. line_profiler: The line_profiler module is a third-party tool that allows you to profile the time spent on each line of code in your script. To use it, you need to install it first:
pip install line_profiler
Then you can annotate the functions you want to profile with the @profile decorator, and run the script with the kernprof command:

kernprof -l myscript.py

This will generate a report showing the time spent on each line of code in the annotated functions.



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