Le samedi 9 janvier 2016, Neil Girdhar <mistersheik@gmail.com> a écrit :
On Sat, Jan 9, 2016 at 8:42 AM, Victor Stinner <victor.stinner@gmail.com> wrote:
I wrote a whole website to explain the status of the Python optimizers
and why I want to write my own optimizer:
https://faster-cpython.readthedocs.org/index.html

I think this is admirable.  I also dream of faster Python.  However, we have a fundamental disagreement about how to get there.  You can spend your whole life adding one or two optimizations a year and Python may only end up twice as fast as it is now, which would still be dog slow. A meaningful speedup requires a JIT.  So, I question the value of this kind of change. 

There are multiple JIT compilers for Python actively developped: PyPy, Pyston, Pyjion, Numba (numerical computation), etc.

I don't think that my work will slow down these projects. I hope that it will create more competition and that we will cooperate. For example, I am in contact with a Pythran developer who told me that my PEPs will help his project. As I wrote in the dict.__version__ PEP, the dictionary version will also be useful for Pyjion according to Brett Canon.

But Antoine Pitrou told me that dictionary version will not help Numba. Numba doesn't use dictionaries and already has its own efficient implemenation for guards.
 
What is the point of making __version__ an exposed property?

Hum, technically I don't need it at the Python level. Guards are implemented in C and access directly the field from the strcuture.

Having the property in Python helps to write unit tests, to write prototypes (experiment new things), etc.
 
That's fine, but I think you are probably wasting your time then :)  The "hole between CPython and PyPy" disappears as soon as PyPy catches up to CPython 3.5 with numpy, and then all of this work goes with it.

PyPy works since many years but it's still not widely used by users. Maybe PyPy has drawbacks and the speedup is not enough to convince users to use it? I'm not sure that Python 3.5 support wil make PyPy immediatly more popular. Users still widely use Python 2 in practice.

Yes, better and faster numpy will help PyPy.

Victor