What are the best practices for benchmarking in Python?

What are the best practices for benchmarking in Python?

When benchmarking in Python, it's important to use the timeit module for accurate timing, avoid global variables, and ensure your code is isolated from other processes.

Can you explain how to use the timeit module?

Sure! The timeit module allows you to time small bits of Python code. You can use it by calling timeit.timeit('code', number=1000) to run the code 1000 times and get the total time taken.

What should I avoid when benchmarking?

Avoid using global variables, as they can introduce variability in your results. Also, ensure that your benchmarking code is not affected by other running processes.

How can I visualize the benchmarking results?

You can use libraries like Matplotlib or Seaborn to create visualizations of your benchmarking results, making it easier to compare different implementations.