How can I effectively use py-spy for profiling my Python applications?
You can use py-spy to profile your Python applications by running it as a command-line tool. Simply execute py-spy top -- python your_script.py
to see real-time performance metrics.
What are some common flags I should know about?
Some useful flags include --pid
to attach to a running process, --output
to save the profile data to a file, and --flame
to generate flame graphs.
Can I use py-spy with virtual environments?
Yes, py-spy works well with virtual environments. Just ensure that you have it installed in the same environment where your application is running.
Are there any limitations I should be aware of?
One limitation is that py-spy may not work with certain Python implementations like Jython or IronPython. Additionally, it can introduce some overhead.
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