Python Code Profiling

[heathdbrown]

Main Documentation

• https://github.com/heathdbrown/research/blob/main/python_code_profiling/pyinstrument.md

References

• 6 Stellar Libraries for Profiling Python Code: InfoWorld

[heathdbrown]

Another item, with pyinstrument is that the 'runs' you perform are stored, at least on Linux, in ~/.local/share/pyinstrument/reports...at the end of a run it states you can run a command to view previous results.

To view this report with different options, run:
pyinstrument --load-prev 2022-01-27T10-43-32 [options]

$ find ~/ -xdev -name 2022-01-27T10-43-32*  -print
/home/heathdbrown/.local/share/pyinstrument/reports/2022-01-27T10-43-32.pyireport

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