Performance Antipatterns
Microsoft has a team working on making Python faster (over 25% for Python 3.11),
called the “Faster CPython” team.
Brandt Bucher (gave the match statement talk)
and Anthony Shaw (gave this talk) are both team members.
A savvy point made is to only optimize
when there’ll be a > 10% performance gain,
otherwise observed improvement may just be CPU noise.
This talk will teach you about speed: using __slots__,
not using dataclasses, and removing helper functions.
It also suggests multiple tools:
- The memory profiler
Scalene - For immediate huge performance gains,
just switch Python interpreter:
Pyston(maintainer Kevin Modzelewski gave the performant code talk),Cython(called “cythonizing”), orPyPy(JIT)