PyPy: Python in Python Implementation
Welcome to PyPy!
PyPy is both an implementation of the Python programming language, and an extensive compiler framework for dynamic language implementations. You can build self-contained Python implementations which execute independently from CPython.
The home page is:
The getting-started document will help guide you:
It will also point you to the rest of the documentation which is generated from files in the pypy/doc directory within the source repositories. Enjoy and send us feedback!
the pypy-dev team <firstname.lastname@example.org>
This all comes more or less from here:
There's two ways you'll be interested in running pypy, with and without compiling. Compilation takes a while (~1 hour on my laptop) and requires valid rpython, so to start with, you'll probably just want to run without compilation.
Running without Compilation
You can run pypy in python:
cd pypy python bin/pyinteractive.py
This will be slow, and a lot of "C modules" won't work.
Compiling PyPy without JIT
This compiles without JIT but with full optimizations:
cd pypy/goal python ../../rpython/bin/rpython --opt=2 targetpypystandalone.py
Testing it out
Once you have the pypy prompt, you can test out the tainting code by importing __pypy__.taint (this API is implemented in pypy/modules/__pypy__/interp_taint.py)
so you can test out propagation of data-flows as follows:
from __pypy__ import taint as t a = "A" t.add_taint(a, 1) b = a.lower() t.get_taint(b) # should output  print t.get_control_taint() # should also output  if a == "A": print t.get_control_taint() # should also output