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That's very good news, since monetary contributions don't seem to be abunding (none of the goals have been met according to pypy.org). Maybe it's a marketing issue, like said before?
Thanks for all the effort made.
> We would also like to thank our contributors (7 new ones since PyPy 2.6.0) and encourage new people to join the project. PyPy has many layers and we need help with all of them This doesn't match my experience of the PyPy project. I found a tiny bug in the stdlib matching against CPython, went into IRC to ask a question about test running to be sure I got it right and was quickly engaged in conversation about why I…
Guys, what's a "trace optimizer"? Google is failing me by returning results about MySQL.
According to wikipedia: https://en.wikipedia.org/wiki/Tracing_just-in-time_compilati...
Tracing just-in-time compilation is a technique used by virtual machines to optimize the execution of a program at runtime. This is done by recording a linear sequence of frequently executed operations, compiling them to native machine code and executing them. This is opposed to traditional just-in-time (JIT) compilers that work on a per-method basis.
Guys, what's a "trace optimizer"? Google is failing me by returning results about MySQL.
[1]:https://en.wikipedia.org/wiki/Tracing_just-in-time_compilati...
python 3.4 please ;_;
Guys, what's a "trace optimizer"? Google is failing me by returning results about MySQL.
It's a JIT that traces runtime execution, rather than looking at whole method or function bodies. In particular it eliminates control flow, which simplifies optimisation.
Kudos to the pypy team! I suspect pypy would benefit from some kind of marketing campaign. It rarely lets me down and yet lots of python devs don't know about it. The most popular package(s) that don't work with it have been numpy, scipy, etc. When I first encountered pypy, there was a numpypy and I wouldn't be surprised if that's different now. But bottom line, tons of python code out there needs more performance an…
> But bottom line, tons of python code out there needs more performance and has no dependency on numpy or any C extensions. What they need is nice JIT engines like PyPy and not to switch languages. If no one invested in improving implementations for modern languages and switched to something lower level all the time, we would still be using Fortran for business applications.
> We would also like to thank our contributors (7 new ones since PyPy 2.6.0) and encourage new people to join the project. PyPy has many layers and we need help with all of them This doesn't match my experience of the PyPy project. I found a tiny bug in the stdlib matching against CPython, went into IRC to ask a question about test running to be sure I got it right and was quickly engaged in conversation about why I…