PyPy Status Blog

Image processing is notoriously a CPU intensive task. To do it in realtime, you need to implement your algorithm in a fast language, hence ...

People that listened to my (Armin Rigo) lightning talk at EuroPython know that suddenly, we have a plan to remove the Global Interpreter Loc...

Hi all, I'm here to report back the results of our survey. First, we're very pleased to report that a number of you guys are happil...

The next PyPy sprint will be in Genova-Pegli, Italy, the week after EuroPython (which is in Florence, about 3h away by train). This is a fu...

We've been working on PyPy for a long time. But readers of this blog will know that in the past year something has changed: we think PyP...

Hi all, We are in the process of migrating the hosting machine for PyPy, moving away from codespeak.net and towards a mixture of custom s...

Fancy hi-level interfaces often come with a high runtime overhead making them slow. Here is an experiment with building such an interface us...

Hi everyone. Since yesterday's blog post we got a ton of feedback, so we want to clarify a few things, as well as share some of the pro...

Hello. NumPy integration is one of the single most requested features for PyPy. This post tries to describe where we are, what we plan (or ...

We're pleased to announce the 1.5 release of PyPy. This release updates PyPy with the features of CPython 2.7.1, including the standard ...

We are pleased to announce that Tkinter, the GUI library based on TCL/TK, now works with PyPy. Tkinter is composed of two parts: _tkinte...

This is the second part of a tutorial written by Andrew Brown . The first part described how to write an interpreter with PyPy . Adding JI...

This is a guest blog post written by Andrew Brown , with help from the PyPy developers on the pypy-dev mailing list. This tutorial's ma...

The next PyPy sprint will be in Gothenburg, Sweden. It is a public sprint, very suitable for newcomers. We'll focus on making the 1.5 r...

This is part 4 and the final part of the series on how to speed up an interpreter written with PyPy by adding JIT hints to the interpreter....

This year's PyCon was an incredible time; several members of the PyPy team were there, and we'll be blogging more about our experien...

This is part 3 of the series on how to speed up an interpreter written with PyPy by adding JIT hints to the interpreter. Part 1 described ho...