What is the difference between benchmarking and profiling in Python?

What is the difference between benchmarking and profiling in Python?

Benchmarking measures the performance of code by running it multiple times to see how long it takes, while profiling analyzes the code to identify bottlenecks and resource usage.

Can you give me an example of how to benchmark a function in Python?

Sure! You can use the timeit module to benchmark a function. For example:

import timeit

def my_function():
    # Your code here
    pass

execution_time = timeit.timeit(my_function, number=1000)
print(f'Execution time: {execution_time}')

What tools can I use for profiling in Python?

You can use tools like cProfile, Py-Spy, and line_profiler for profiling your Python code.

How do I interpret the results from a profiler?

Interpreting profiler results involves looking at the time spent in each function, identifying slow functions, and understanding call counts to optimize performance.