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Comment by fijal | Hacker News Reader

Maybe it's worth noting, maybe not, but this extremely trivial example (e.g. serial.py) gets executed 20x faster just by using pypy which speeds up serial execution. This is more than you would get by any sort of multiprocessing/threading shengenians just by using an optimizing VM (and granted, this example is very simple, but maybe addressing basic performance problems should come first)

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pypy has not been updated in a while (it's compatibility is with Python 3.25).

what's even more worrying is that it had almost run out of funds in July. Currently, it has 5000$ in the fund earmarked for Py3 support (http://pypy.org/py3donate.html)

somehow I thought that Google was supporting Pypy.

PyPy is being update very regularly with 3 releases a year on average. Most of the work however focuses on things our users really want - stability, performance, C extension support, warmup speed, memory consumption - you know the mundane stuff. If someone is willing to put effort into supporting more python 3, that's great! we would welcome the contributions.

PS. We're closing onto 3.3 release soon

PPS. Google donated a bit of money to PyPy when Guido was there, definitely "google supporting pypy" is a bit of a stretch. It was years ago though

Google not supporting it in a big way is very strange. is there a political conflict between cpython and pypy ?

Because it seems to me that Pypy is the future of python. and it makes total sense for someone like Google or Dropbox to support it with a lot of money.

It makes sense != it makes money. Google does not support cpython either in any meaningful way (that is, someone hired full time to work on cpython for example).

huh ?

https://www.python.org/~guido/ In January 2013 I joined Dropbox. I work on various Dropbox products and have 50% for my Python work, no strings attached.

http://www.linuxjournal.com/magazine/interview-guido-van-ros...

I don't have a 20% project per se, but I have Google's agreement that I can spend 50% of my time on Python, with no strings attached, so I call this my “50% project”.

Dropbox isn't Google.

I don't know if Google does or does not provide meaningful support to CPython development. Certainly it did, as you point out. But fijal's comment was about the present, not the past.

I really wanted to take a look to how PyPy handles this. Now I'm even more so. Thanks!

if you are blocking on io (such as read/write to disk or over the network), pypy execution speed will not help while threading will.

obviously, but the time of blocking on IO should be the same on all strategies + CPU overhead of doing that

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