Python also has fast statistical profiling.
For example, see projects like the following.
https://github.com/emin63/ox_profile
https://pypi.org/project/statprof/
https://github.com/bdarnell/plop
https://github.com/uber/pyflame
Statistical profiling lets you tune the overhead vs accuracy. By turning the overhead down low enough (e.g., by not sampling very frequently), you can be profiling your production code all the time and get very accurate data about what parts of your program are slow in real use cases.
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Statistical profiling lets you tune the overhead vs accuracy. By turning the overhead down low enough (e.g., by not sampling very frequently), you can be profiling your production code all the time and get very accurate data about what parts of your program are slow in real use cases.