Have you had experience using profiling tools to analyze application performance?

Yes, I have used profiling tools to analyze the performance of Python applications, such as cProfile and Py-Spy.

For example, with cProfile, you can obtain statistics on function execution times and identify bottlenecks:

import cProfile

def my_function():
    # function code
    pass

cProfile.run('my_function()')

I also used visualizers, such as SnakeViz, for convenient analysis of profiling results. This helps optimize code, improve response times, and reduce resource consumption.