There are simply so many optimizations, and so high complexity, that most mortal programmers are in practice unable to write the body of a loop in a more optimized way than an optimizing compiler can.

The update shaves down startup time and memory use, and it introduces improved options for interfacing with and embedding Python into C code A mere three months after the PyPy project released version ...

We have recently seen a lot of attention paid to projects like LLVM. Even though the GNU Compiler Collection is developing at a rapid pace, there are people in the community who are interested in ...

The latest update to PyPy (5.6), the just-in-time compiling runtime for Python, supplies the usual roster of bug fixes and incremental improvements. Its biggest changes, though, involve a ...

The Python community is buzzing with discussions about performance improvements, particularly around Facebook's Cinder JIT compiler and the often-overlooked PyPy implementation. While much attention ...

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At the recent CPython Core Developer Sprint in Cambridge, veteran PyPy contributor Antonio Cuni delivered a sobering masterclass on the real-world challenges facing tracing just-in-time (JIT) ...

The beta version of PyPy 2.0 has been released, and adds support for ARM CPUs and CFFI compatibility. The PyPy Status blog says that “this release is not a typical beta, in a sense the stability is ...