The main website for pip is
pip.openplans.org
. You can also install
the
in-development version
of pip with
easy_install
pip==dev
.
Introduction
pip installs packages. Python packages.
If you use
virtualenv
? a tool
for installing libraries in a local and isolated manner ? you’ll
automatically get a copy of pip. Free bonus!
Once you have pip, you can use it like this:
$ pip install SomePackage
SomePackage is some package you’ll find on
PyPI
. This installs the package and all
its dependencies.
pip does other stuff too, with packages, but install is the biggest
one. You can
pip uninstall
too.
You can also install from a URL (that points to a tar or zip file),
install from some version control system (use URLs like
hg+http://domain/repo
? or prefix
git+
,
svn+
etc). pip
knows a bunch of stuff about revisions and stuff, so if you need to do
things like install a very specific revision from a repository pip can
do that too.
If you’ve ever used
python setup.py develop
, you can do something
like that with
pip install
-e
./
? this works with packages that
use
distutils
too (usually this only works with Setuptools
projects).
You can use
pip install
--upgrade
SomePackage
to upgrade to a
newer version, or
pip install
SomePackage==1.0.4
to install a very
specific version.
Pip Compared To easy_install
pip is a replacement for
easy_install
. It uses mostly the
same techniques for finding packages, so packages that were made
easy_installable should be pip-installable as well.
pip is meant to improve on easy_install. Some of the improvements:
All packages are downloaded before installation. Partially-completed
installation doesn’t occur as a result.
Care is taken to present useful output on the console.
The reasons for actions are kept track of. For instance, if a package is
being installed, pip keeps track of why that package was required.
Error messages should be useful.
The code is relatively concise and cohesive, making it easier to use
programmatically.
Packages don’t have to be installed as egg archives, they can be installed
flat (while keeping the egg metadata).
Native support for other version control systems (Git, Mercurial and Bazaar)
Uninstallation of packages.
Simple to define fixed sets of requirements and reliably reproduce a
set of packages.
pip doesn’t do everything that easy_install does. Specifically:
It cannot install from eggs. It only installs from source. (In the
future it would be good if it could install binaries from Windows
.exe
or
.msi
? binary install on other platforms is not a priority.)
It doesn’t understand Setuptools extras (like
package[test]
). This should
be added eventually.
It is incompatible with some packages that extensively customize distutils
or setuptools in their
setup.py
files.
pip is complementary with
virtualenv
, and it is encouraged that you use
virtualenv to isolate your installation.
Uninstall
pip is able to uninstall most installed packages with
pip uninstall
package-name
.
Known exceptions include pure-distutils packages installed with
python setup.py install
(such packages leave behind no metadata allowing
determination of what files were installed), and script wrappers installed
by develop-installs (
python setup.py develop
).
pip also performs an automatic uninstall of an old version of a package
before upgrading to a newer version, so outdated files (and egg-info data)
from conflicting versions aren’t left hanging around to cause trouble. The
old version of the package is automatically restored if the new version
fails to download or install.
Requirements Files
When installing software, and Python packages in particular, it’s common that
you get a lot of libraries installed. You just did
easy_install MyPackage
and you get a dozen packages. Each of these packages has its own version.
Maybe you ran that installation and it works. Great! Will it keep working?
Did you have to provide special options to get it to find everything? Did you
have to install a bunch of other optional pieces? Most of all, will you be able
to do it again? Requirements files give you a way to create an
environment
:
a
set
of packages that work together.
If you’ve ever tried to setup an application on a new system, or with slightly
updated pieces, and had it fail, pip requirements are for you. If you
haven’t had this problem then you will eventually, so pip requirements are
for you too ? requirements make explicit, repeatable installation of packages.
So what are requirements files? They are very simple: lists of packages to
install. Instead of running something like
pip MyApp
and getting
whatever libraries come along, you can create a requirements file something like:
MyApp
Framework==0.9.4
Library>=0.2
Then, regardless of what MyApp lists in
setup.py
, you’ll get a
specific version of Framework (0.9.4) and at least the 0.2 version of
Library. (You might think you could list these specific versions in
MyApp’s
setup.py
? but if you do that you’ll have to edit MyApp
if you want to try a new version of Framework, or release a new
version of MyApp if you determine that Library 0.3 doesn’t work with
your application.) You can also add optional libraries and support
tools that MyApp doesn’t strictly require, giving people a set of
recommended libraries.
You can also include “editable” packages ? packages that are checked out from
Subversion, Git, Mercurial and Bazaar. These are just like using the
-e
option to pip. They look like:
-e svn+http://myrepo/svn/MyApp#egg=MyApp
You have to start the URL with
svn+
(
git+
,
hg+
or
bzr+
), and
you have to include
#egg=Package
so pip knows what to expect at that URL.
You can also include
@rev
in the URL, e.g.,
@275
to check out
revision 275.
Requirement files are mostly
flat
. Maybe
MyApp
requires
Framework
, and
Framework
requires
Library
. I encourage
you to still list all these in a single requirement file; it is the
nature of Python programs that there are implicit bindings
directly
between MyApp and Library. For instance, Framework might expose one
of Library’s objects, and so if Library is updated it might directly
break MyApp. If that happens you can update the requirements file to
force an earlier version of Library, and you can do that without
having to re-release MyApp at all.
Read the
requirements file format
to
learn about other features.
Freezing Requirements
So you have a working set of packages, and you want to be able to install them
elsewhere.
Requirements files
let you install exact versions, but it won’t
tell you what all the exact versions are.
To create a new requirements file from a known working environment, use:
$ pip freeze > stable-req.txt
This will write a listing of
all
installed libraries to
stable-req.txt
with exact versions for every library. You may want to edit the file down after
generating (e.g., to eliminate unnecessary libraries), but it’ll give you a
stable starting point for constructing your requirements file.
You can also give it an existing requirements file, and it will use that as a
sort of template for the new file. So if you do:
$ pip freeze -r devel-req.txt > stable-req.txt
it will keep the packages listed in
devel-req.txt
in order and preserve
comments.
Bundles
Another way to distribute a set of libraries is a bundle format (specific to
pip). This format is not stable at this time (there simply hasn’t been
any feedback, nor a great deal of thought). A bundle file contains all the
source for your package, and you can have pip install them all together.
Once you have the bundle file further network access won’t be necessary. To
build a bundle file, do:
$ pip bundle MyApp.pybundle MyApp
(Using a
requirements file
would be wise.) Then someone else can get the
file
MyApp.pybundle
and run:
$ pip install MyApp.pybundle
This is
not
a binary format. This only packages source. If you have binary
packages, then the person who installs the files will have to have a compiler,
any necessary headers installed, etc. Binary packages are hard, this is
relatively easy.
Using pip with virtualenv
pip is most nutritious when used with
virtualenv
. One of the reasons pip
doesn’t install “multi-version” eggs is that virtualenv removes much of the need
for it. Because pip is installed by virtualenv, just use
path/to/my/environment/bin/pip
to install things into that
specific environment.
To tell pip to only run if there is a virtualenv currently activated,
and to bail if not, use:
export PIP_REQUIRE_VIRTUALENV=true
To tell pip to automatically use the currently active virtualenv:
export PIP_RESPECT_VIRTUALENV=true
Providing an environment with
-E
will be ignored.
Using pip with virtualenvwrapper
If you are using
virtualenvwrapper
, you might
want pip to automatically create its virtualenvs in your
$WORKON_HOME
.
You can tell pip to do so by defining
PIP_VIRTUALENV_BASE
in your
environment and setting it to the same value as that of
$WORKON_HOME
.
Do so by adding the line:
export PIP_VIRTUALENV_BASE=$WORKON_HOME
in your .bashrc under the line starting with
export WORKON_HOME
.
Using pip with buildout
If you are using
zc.buildout
you should look at
gp.recipe.pip
as an
option to use pip and virtualenv in your buildouts.
Command line completion
pip comes with support for command line completion in bash and zsh and
allows you tab complete commands and options. To enable it you simply
need copy the required shell script to the your shell startup file
(e.g.
.profile
or
.zprofile
) by running the special
completion
command, e.g. for bash:
$ pip completion --bash >> ~/.profile
And for zsh:
$ pip completion --zsh >> ~/.zprofile
Alternatively, you can use the result of the
completion
command
directly with the eval function of you shell, e.g. by adding:
eval "`pip completion --bash`"
to your startup file.
Searching for packages
pip can search the
Python Package Index
(PyPI)
for packages using the
pip search
command. To search, run:
$ pip search "query"
The query will be used to search the names and summaries of all packages
indexed.
pip searches
http://pypi.python.org/pypi
by default but alternative indexes
can be searched by using the
--index
flag.
Mirror support
The
PyPI mirroring infrastructure
as
described in
PEP 381
can be
used by passing the
--use-mirrors
option to the install command.
Alternatively, you can use the other ways to configure pip, e.g.:
$ export PIP_USE_MIRRORS=true
If enabled, pip will automatically query the DNS entry of the mirror index URL
to find the list of mirrors to use. In case you want to override this list,
please use the
--mirrors
option of the install command, or add to your pip
configuration file:
[install]
use-mirrors = true
mirrors =
http://d.pypi.python.org
http://b.pypi.python.org