conda-pypy

This repository provides a set of recipes that allow installing pypy's python into a conda environment.

Quickstart (use pre-built packages)

The quickest way to use the result from these recipes is installing some packages I've already built and uploaded to my channel on binstar (these packages were built inside a CentOS6 docker container, they should hopefully work on most modern linux distribution). Here are a few instructions:

• Install miniconda:

  $ wget http://repo.continuum.io/miniconda/Miniconda-3.5.5-Linux-x86_64.sh
  $ bash Miniconda-3.5.5-Linux-x86_64.sh # and follow the instructions
  

• Then install this file as $HOME/.condarc. This file will override the default configuration of your anaconda/miniconda installation so that packages are installed from my pypy channel on binstar and are not mixed with the cpython ones that are part of the normal distribution.

• Activate your conda installation:

  $ export PATH=/path/to/miniconda/bin:$PATH
  

• Create a conda environment and install python (pypy's python) and pip in it:

  $ conda create -n pypy python pip
  

• Activate this new environment:

  $ . activate pypy
  

• Run python:

  (pypy) $ python
  

  Python 2.7.6 (32f35069a16d819b58c1b6efb17c44e3e53397b2, Jun 23 2014, 08:14:27) [PyPy 2.3.1 with GCC 4.4.7 20120313 (Red Hat 4.4.7-4)] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>>>

Build your own packages

If you want to build your own packages for Linux x86_64 you can use these recipes, collect the result into your own channel and then customize the conda rc file accordingly. It's goint to take a bit of time, but it should be quite simple.

What if I want to use these packages on OSX or Windows?

Please fork this repository, extend/port the recipes as needed, and then consider sending a pull request :-)