Originally published on the PyPy blog.
We have to admit: even if we have been writing for years about the fantastic speedups that the PyPy JIT gives, we, the PyPy developers, still don't use it for our daily routine. Until today :-).
Originally published on the PyPy blog.
No, we are not going to talk about the environment (i.e., the set of variables as printed by /usr/bin/env. What else? :-)).
Originally published on the PyPy blog.
Thanks to the work that was recently done on the sys-prefix branch, it is now possible to use virtualenv with PyPy.
Originally published on the PyPy blog.
So, EuroPython 2010 is over, I am flying home and it's time to write a report about the conference from the PyPy point of view.
Originally published on the PyPy blog.
As the readers of this blog already know, I've been working on porting the JIT to CLI/.NET for the last months. Now that it's finally possible to get a working pypy-cli-jit, it's time to do some benchmarks.
Originally published on the PyPy blog.
In my two previous posts, we talked about the PyPy JIT generator, seeing that it can produce huge speedups and how its backend-independent frontend works.
Originally published on the PyPy blog.
In my previous post, we saw that PyPy JIT generator can produce huge speedups when applied to the tlc toy language.
Originally published on the PyPy blog.
As the readers of this blog already know, I have been working on the CLI JIT backend for some months: last Friday, it reached an important milestone, as it is now able to produce huge speedups for a little dynamic language. To know how huge the speedup is, read on :-).