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python/virtualenv/docs/index.rst
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Virtualenv
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==========
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`Mailing list <http://groups.google.com/group/python-virtualenv>`_ |
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`Issues <https://github.com/pypa/virtualenv/issues>`_ |
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`Github <https://github.com/pypa/virtualenv>`_ |
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`PyPI <https://pypi.python.org/pypi/virtualenv/>`_ |
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User IRC: #pypa
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Dev IRC: #pypa-dev
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Introduction
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------------
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``virtualenv`` is a tool to create isolated Python environments.
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The basic problem being addressed is one of dependencies and versions,
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and indirectly permissions. Imagine you have an application that
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needs version 1 of LibFoo, but another application requires version
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2. How can you use both these applications? If you install
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everything into ``/usr/lib/python2.7/site-packages`` (or whatever your
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platform's standard location is), it's easy to end up in a situation
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where you unintentionally upgrade an application that shouldn't be
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upgraded.
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Or more generally, what if you want to install an application *and
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leave it be*? If an application works, any change in its libraries or
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the versions of those libraries can break the application.
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Also, what if you can't install packages into the global
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``site-packages`` directory? For instance, on a shared host.
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In all these cases, ``virtualenv`` can help you. It creates an
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environment that has its own installation directories, that doesn't
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share libraries with other virtualenv environments (and optionally
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doesn't access the globally installed libraries either).
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.. comment: split here
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.. toctree::
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:maxdepth: 2
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installation
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userguide
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reference
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development
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changes
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.. warning::
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Python bugfix releases 2.6.8, 2.7.3, 3.1.5 and 3.2.3 include a change that
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will cause "import random" to fail with "cannot import name urandom" on any
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virtualenv created on a Unix host with an earlier release of Python
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2.6/2.7/3.1/3.2, if the underlying system Python is upgraded. This is due to
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the fact that a virtualenv uses the system Python's standard library but
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contains its own copy of the Python interpreter, so an upgrade to the system
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Python results in a mismatch between the version of the Python interpreter
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and the version of the standard library. It can be fixed by removing
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``$ENV/bin/python`` and re-running virtualenv on the same target directory
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with the upgraded Python.
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Other Documentation and Links
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-----------------------------
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* `Blog announcement of virtualenv`__.
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.. __: http://blog.ianbicking.org/2007/10/10/workingenv-is-dead-long-live-virtualenv/
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* James Gardner has written a tutorial on using `virtualenv with
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Pylons
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<http://wiki.pylonshq.com/display/pylonscookbook/Using+a+Virtualenv+Sandbox>`_.
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* Chris Perkins created a `showmedo video including virtualenv
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<http://showmedo.com/videos/video?name=2910000&fromSeriesID=291>`_.
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* Doug Hellmann's `virtualenvwrapper`_ is a useful set of scripts to make
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your workflow with many virtualenvs even easier. `His initial blog post on it`__.
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He also wrote `an example of using virtualenv to try IPython`__.
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.. _virtualenvwrapper: https://pypi.python.org/pypi/virtualenvwrapper/
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.. __: https://doughellmann.com/blog/2008/05/01/virtualenvwrapper/
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.. __: https://doughellmann.com/blog/2008/02/01/ipython-and-virtualenv/
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* `Pew`_ is another wrapper for virtualenv that makes use of a different
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activation technique.
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.. _Pew: https://pypi.python.org/pypi/pew/
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* `Using virtualenv with mod_wsgi
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<http://code.google.com/p/modwsgi/wiki/VirtualEnvironments>`_.
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* `virtualenv commands
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<https://github.com/thisismedium/virtualenv-commands>`_ for some more
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workflow-related tools around virtualenv.
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* PyCon US 2011 talk: `Reverse-engineering Ian Bicking's brain: inside pip and virtualenv
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<http://pyvideo.org/video/568/reverse-engineering-ian-bicking--39-s-brain--insi>`_.
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By the end of the talk, you'll have a good idea exactly how pip
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and virtualenv do their magic, and where to go looking in the source
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for particular behaviors or bug fixes.
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Compare & Contrast with Alternatives
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------------------------------------
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There are several alternatives that create isolated environments:
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* ``workingenv`` (which I do not suggest you use anymore) is the
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predecessor to this library. It used the main Python interpreter,
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but relied on setting ``$PYTHONPATH`` to activate the environment.
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This causes problems when running Python scripts that aren't part of
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the environment (e.g., a globally installed ``hg`` or ``bzr``). It
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also conflicted a lot with Setuptools.
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* `virtual-python
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<http://peak.telecommunity.com/DevCenter/EasyInstall#creating-a-virtual-python>`_
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is also a predecessor to this library. It uses only symlinks, so it
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couldn't work on Windows. It also symlinks over the *entire*
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standard library and global ``site-packages``. As a result, it
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won't see new additions to the global ``site-packages``.
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This script only symlinks a small portion of the standard library
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into the environment, and so on Windows it is feasible to simply
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copy these files over. Also, it creates a new/empty
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``site-packages`` and also adds the global ``site-packages`` to the
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path, so updates are tracked separately. This script also installs
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Setuptools automatically, saving a step and avoiding the need for
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network access.
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* `zc.buildout <http://pypi.python.org/pypi/zc.buildout>`_ doesn't
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create an isolated Python environment in the same style, but
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achieves similar results through a declarative config file that sets
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up scripts with very particular packages. As a declarative system,
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it is somewhat easier to repeat and manage, but more difficult to
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experiment with. ``zc.buildout`` includes the ability to setup
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non-Python systems (e.g., a database server or an Apache instance).
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I *strongly* recommend anyone doing application development or
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deployment use one of these tools.
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