In Python security, how do I profile bottlenecks?

Profiling bottlenecks in Python security applications is crucial to identify areas that can be optimized for performance. This guide will help you understand how to effectively use profiling tools and techniques in your Python applications.

Python security, profiling, performance bottlenecks, optimization, Python applications


        # Example of profiling a Python function using cProfile
        import cProfile

        def slow_function():
            total = 0
            for i in range(10000):
                total += i * i
            return total

        if __name__ == '__main__':
            cProfile.run('slow_function()')