Introducing tprof: A Targeted Profiler for Python Performance Optimization
By
jonatron
Not artisan, but a perfectly fine bagel. Hits the spot.
Summary
The article introduces tprof, a targeting profiler for Python that addresses the inefficiency of traditional profilers when optimizing specific functions. Traditional profilers measure entire program performance, but once a target function is identified, re-profiling the whole program to check optimization results is slow and cumbersome. tprof focuses specifically on target functions, reducing overhead and making optimization workflows more efficient, as demonstrated through the author's experience optimizing Django's system checks framework.
Key quotes
· 4 pulledProfilers measure the performance of a whole program to identify where most of the time is spent.
But once you've found a target function, re-profiling the whole program to see if your changes helped can be slow and cumbersome.
The profiler introduces overhead to execution and you have to pick out the stats for the one function you care about from the report.
The pain here inspired me to create tprof, a targeting profiler for Python.
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