alt Hacker NewsThe project was first suggested by Mark Shannon. Van Rossum inserted himself into the project. Faster CPython people have been fired by Microsoft last year.
Generally not that much has happened in 5 years, sometimes 10-15% improvements are posted that are later offset by bloat.
I think the project started in 3.10, so 3.9 is the last version to compare to. The improvements aren't that great, I don't think any other language would get so much positive feedback for so little.
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I know what happened last year, my point was the prior history that lead to that effort.
https://thenewstack.io/guido-van-rossums-ambitious-plans-for...
Agree with the sentiment, Python is the only dynamic language where it seems a graveyard from efforts.
And nope it isn't the dynamism per se, Smalltalk, Self, Common Lisp are just as dynamic, with lots of possibilities to reboot the world and mess up JIT efforts, as any change impacts the whole image.
Naturally those don't have internals exposed to C where anything goes, and the culture C libraries are seen as the language libraries.
> Generally not that much has happened in 5 years, sometimes 10-15% improvements are posted that are later offset by bloat.
Sorry but unless your workload is some C API numpy number cruncher that just does matmuls on the CPU, that's probably false.
In 3.11 alone, CPython sped up by around 25% over 3.10 on pyperformance for x86-64 Ubuntu. https://docs.python.org/3/whatsnew/3.11.html#whatsnew311-fas...
3.14 is 35-45% faster than CPython 3.10 for pyperformance x86-64 Ubuntu https://github.com/faster-cpython/benchmarking-public
These speedups have been verified by external projects. For example, a Python MLIR compiler that I follow has found a geometric mean 36% speedup moving from CPython 3.10 to 3.11 (page 49 of https://github.com/EdmundGoodman/masters-project-report)
Another academic benchmark here observed an around 1.8x speedup on their benchmark suite for 3.13 vs 3.10 https://youtu.be/03DswsNUBdQ?t=145
CPython 3.11 sped up enough that PyPy in comparison looks slightly slower. I don't know if anyone still remembers this: but back in the CPython 3.9 days, PyPy had over 4x speedup over CPython on the PyPy benchmark suite, now it's 2.8 on their website https://speed.pypy.org/ for 3.11.
Yes CPython is still slow, but it's getting faster :).
Disclaimer: I'm just a volunteer, not an employee of Microsoft, so I don't have a perf report to answer to. This is just my biased opinion.