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This looks really slick, but it's a bit unfortunate that this was implemented in a way that's tied to the CPython API specifically, given that there are Python-VM-neutral methods of low-level interop available (ctypes, CFFI, etc.). My general sense (and certainly my own experience) has been that many people doing speed-sensitive Python work are already running on PyPy now, and that writing lower-level extensions has become a way to squeeze out an extra level of performance beyond that, so having to go back to CPython to take advantage of this infrastructure would be kind of a bummer, and almost definitely a non-starter in my projects, which leaves me stuck with C.



> My general sense (and certainly my own experience) has been that many people doing speed-sensitive Python work are already running on PyPy now

Depends, an other category drops down to Cython (which in many cases of low type dynamism consists of just running Python code through Cython).


Right, I definitely don't think PyPy+[ctypes|cffi] is universal ("many," not "all"). Lots of people are doing Cython. Also, anyone who has a performance-sensitive workload that depends on SciPy is out of luck on PyPy at least for the time being. All I'm saying is that PyPy as a performant-Python strategy is common enough now that it's worth supporting in new performant-Python projects.


My thoughts exactly. Great concept and I will definitely follow it as it develops, but I'd love to see an abstraction layer that takes the pain out of the a$$ that is the Python C-api. I left that years ago and I'm not going back.


Ive been using the Python C api recently and I find it the most straight forward option of getting performance out of Python. If you write a few helper classes in C++ using RAII - the python c-api becomes actually pretty pleasant to use.


I'm jealous. Granted, I learned the API before I re-learned C, so I admittedly shot myself in the foot. Now that I'm back up to speed in C (I was in a Java shop for 5 years) and doing more work in Go for my own start-up, I shy away from using Python for anything other than one-off numerical analyses.




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