I had my fair chance of getting through the python management of modules, and every time is a challenge: packaging is not what people do every day, and it becomes a burden to le
For the most part, this is an attempt to look at the packaging/distribution side, not the mechanics of import
. Unfortunately, packaging is the place where Python provides way more than one way to do it. I'm just trying to get the ball rolling, hopefully others will help fill what I miss or point out mistakes.
First of all there's some messy terminology here. A directory containing an __init__.py
file is a package. However, most of what we're talking about here are specific versions of packages published on PyPI, one of it's mirrors, or in a vendor specific package management system like Debian's Apt, Redhat's Yum, Fink, Macports, Homebrew, or ActiveState's pypm.
These published packages are what folks are trying to call "Distributions" going forward in an attempt to use "Package" only as the Python language construct. You can see some of that usage in PEP-376 PEP-376.
Now, your list of keywords relate to several different aspects of the Python Ecosystem:
The above are all services that provide a place to publish Python distributions in various formats. Some, like PyPI mirrors and apt / yum repositories can be run on your local machine or within your companies network but folks typically use the official ones. Most, if not all provide a tool (or multiple tools in the case of PyPI) to help find and download distributions.
setuptools
/ Distributedistutils
Distutils is the standard infrastructure on which Python packages are compiled and built into distributions. There's a ton of functionality in distutils
but most folks just know:
from distutils.core import setup
setup(name='Distutils',
version='1.0',
description='Python Distribution Utilities',
author='Greg Ward',
author_email='gward@python.net',
url='http://www.python.org/sigs/distutils-sig/',
packages=['distutils', 'distutils.command'],
)
And to some extent that's a most of what you need. With the prior 9 lines of code you have enough information to install a pure Python package and also the minimal metadata required to publish that package a distribution on PyPI.
Setuptools provides the hooks necessary to support the Egg format and all of it's features and foibles. Distribute is an alternative to Setuptools that adds some features while trying to be mostly backwards compatible. I believe Distribute is going to be included in Python 3 as the successor to Distutil's from distutils.core import setup
.
Both Setuptools and Distribute provide a custom version of the distutils
setup command
that does useful things like support the Egg format.
Distributions are typically provided either as source archives (tarball or zipfile). The standard way to install a source distribution is by downloading and uncompressing the archive and then running the setup.py
file inside.
For example, the following will download, build, and install the Pygments syntax highlighting library:
curl -O -G http://pypi.python.org/packages/source/P/Pygments/Pygments-1.4.tar.gz
tar -zxvf Pygments-1.4.tar.gz
cd Pygments-1.4
python setup.py build
sudo python setup.py install
Alternatively you can download the Egg file and install it. Typically this is accomplished by using easy_install or pip:
sudo easy_install pygments
or
sudo pip install pygments
Eggs were inspired by Java's Jarfiles and they have quite a few features you should read about here
A normal python package is just a directory containing an __init__.py
file and an arbitrary number of additional modules or sub-packages. Python also has support for finding and loading source code within *.zip files as long as they are included on the PYTHONPATH
(sys.path
).
easy_install
: the original egg installation tool, depends on setuptools
pip
: currently the most popular way to install python packages. Similar to easy_install
but more flexible and has some nice features like requirements files to help document dependencies and reproduce deployments.pypm
, apt
, yum
, fink, etcbento
buildout
virtualenv
(and virtualenvwrapper
)The above tools are used to help automate and manage dependencies for a Python project. Basically they give you tools to describe what distributions your application requires and automate the installation of those specific versions of your dependencies.
PYTHONPATH
By default, installing a python distribution is going to drop it into the site-packages directory. That directory is usually something like /usr/lib/pythonX.Y/site-packages
.
A simple programmatic way to find your site-packages directory:
from distuils import sysconfig
print sysconfig.get_python_lib()
Python's import statement will only find packages that are located in one of the directories included in your PYTHONPATH
.
You can inspect and change your path from within Python by accessing:
import sys
print sys.path
sys.path.append("/home/myname/lib")
Besides that, you can set the PYTHONPATH
environment variable like you would any other environment variable on your OS or you could use:
PYTHONPATH
are read and each line of the *.pth file is added to your PYTHONPATH
. Basically any time you would copy a package into a directory on your PYTHONPATH
you could instead create a mypackages.pth
. Read more about *.pth files: site modulesite.py
modificationsTo add the above /home/myname/lib
to site-packages with a *.pth file you'd create a *.pth file. The name of the file doesn't matter but you should still probably choose something sensible.
Let's create myname.pth
:
# myname.pth
/home/myname/lib
That's it. Drop that into sysconfig.get_python_lib()
on your system or any other directory in your PYTHONPATH
and /home/myname/lib
will be added to the path.