Making it go faster
summary
Covers practical Python performance tuning using cProfile, pstats, and RunSnakeRun to locate bottlenecks, with timeit for measuring runtime. Shows refactoring based on those measurements and discusses Python optimization limits plus options for replacing Python code with C.
AI-written summary · about
related talks
30mWrite faster Python! Common performance anti patterns
28m"Performant Python"
37mTuning Python applications can dramatically increase performance
01h 31mDebugging and profiling techniques
54mWhy Python Is So Slow
26mPython Performance at Scale - Making Python Faster at Instagram
50mMeasuring the performance of CPython
01h 03mA tour of CPython's runtime