In Python automation, how do I profile bottlenecks?

In Python automation, profiling bottlenecks is essential for optimizing your code and improving performance. You can use the built-in `cProfile` module to analyze the time taken by different parts of your code. Below is an example of how to use `cProfile` to identify bottlenecks in your Python script.


    import cProfile
    import time
    
    def slow_function():
        time.sleep(2)  # Simulate a slow function
    
    def fast_function():
        return sum(range(10000))  # Quick computation
    
    def main():
        slow_function()
        fast_function()
    
    if __name__ == '__main__':
        cProfile.run('main()')