What are the best practices for profiling Python code?

What are the best practices for profiling Python code?

To effectively profile Python code, consider using built-in modules like cProfile and timeit. Start by identifying the bottlenecks in your code.

How do I use cProfile to profile my script?

You can use cProfile by running your script with the command python -m cProfile your_script.py. This will give you a detailed report of the function calls.

Are there any visualization tools for profiling results?

Yes, tools like SnakeViz and Py-Spy can help visualize the profiling results, making it easier to identify performance issues.

What should I do after identifying bottlenecks?

Once you've identified bottlenecks, you can optimize your code by refactoring, using more efficient algorithms, or leveraging libraries like NumPy for heavy computations.