How to Write, Package and Distribute a Library in Python

Python is a great programming language, but packaging is one of its weakest points. It is a well-known fact in the community. Installing, importing, using and creating packages has improved a lot over the years, but it’s still not on par with newer languages like Go and Rust that learned a lot from the struggles of Python and other mature languages.

In this tutorial, you’ll learn everything you need to know about writing, packaging and distributing your own packages.

How to Write a Python Library

A Python library is a coherent collection of Python modules that is organized as a Python package. In general, that means that all modules live under the same directory and that this directory is on the Python search path.

Let’s quickly write a little Python 3 package and illustrate all these concepts.

The Pathology Package

Python 3 has an excellent Path object, which is a huge improvement over Python 2’s awkward os.path module. But it’s missing one crucial capability—finding the path of the current script. This is very important when you want to locate access files relative to the current script.

In many cases, the script can be installed in any location, so you can’t use absolute paths, and the working directory can be set to any value, so you can’t use a relative path. If you want to access a file in a sub-directory or parent directory, you must be able to figure out the current script directory.

Here is how you do it in Python:

import pathlib

script_dir = pathlib.Path(__file__).parent.resolve()

To access a file called ‘file.txt’ in a ‘data’ sub-directory of the current script’s directory, you can use the following code: print(open(str(script_dir/'data/file.txt').read())

With the pathology package, you have a built-in script_dir method, and you use it like this:

from pathology.Path import script_dir

print(open(str(script_dir()/'data/file.txt').read())

Yep, it’s a mouthful. The pathology package is very simple. It derives its own Path class from pathlib’s Path and adds a static script_dir() that always returns the path of the calling script.

Here is the implementation:

import pathlib
import inspect

class Path(type(pathlib.Path())):
    @staticmethod
    def script_dir():
        print(inspect.stack()[1].filename)
        p = pathlib.Path(inspect.stack()[1].filename)
        return p.parent.resolve()

Due to the cross-platform implementation of pathlib.Path, you can derive directly from it and must derive from a specific sub-class (PosixPath or WindowsPath). The script_dir resolution uses the inspect module to find the caller and then its filename attribute.

Testing the Pathology Package

Whenever you write something that is more than a throwaway script, you should test it. The pathology module is no exception. Here are the tests using the standard unit test framework:

import os
import shutil 
from unittest import TestCase
from pathology.path import Path


class PathTest(TestCase):
    def test_script_dir(self):
        expected = os.path.abspath(os.path.dirname(__file__))
        actual = str(Path.script_dir())
        self.assertEqual(expected, actual)

    def test_file_access(self):
        script_dir = os.path.abspath(os.path.dirname(__file__))
        subdir = os.path.join(script_dir, 'test_data')
        if Path(subdir).is_dir():
            shutil.rmtree(subdir)
        os.makedirs(subdir)
        file_path = str(Path(subdir)/'file.txt')
        content = '123'
        open(file_path, 'w').write(content)
        test_path = Path.script_dir()/subdir/'file.txt'
        actual = open(str(test_path)).read()

        self.assertEqual(content, actual)

The Python Path

Python packages must be installed somewhere on the Python search path to be imported by Python modules. The Python search path is a list of directories and is always available in sys.path. Here is my current sys.path:

>>> print('\n'.join(sys.path))

/Users/gigi.sayfan/miniconda3/envs/py3/lib/python36.zip
/Users/gigi.sayfan/miniconda3/envs/py3/lib/python3.6
/Users/gigi.sayfan/miniconda3/envs/py3/lib/python3.6/lib-dynload
/Users/gigi.sayfan/miniconda3/envs/py3/lib/python3.6/site-packages
/Users/gigi.sayfan/miniconda3/envs/py3/lib/python3.6/site-packages/setuptools-27.2.0-py3.6.egg 

Note that the first empty line of the output represents the current directory, so you can import modules from the current working directory, whatever it is. You can directly add or remove directories to/from sys.path.

You can also define a PYTHONPATH environment variable, and there a few other ways to control it. The standard site-packages is included by default, and this is where packages you install using via pip go.

How to Package a Python Library

Now that we have our code and tests, let’s package it all into a proper library. Python provides an easy way via the setup module. You create a file called setup.py in your package’s root directory.

The setup.py files  includes a lot of metadata information such as author, license, maintainers, and other information regarding the package.  This is in addition to the packages item that uses the find_packages() function imported from setuptools to find sub-packages.

Here is the setup.py file of the pathology package:

from setuptools import setup, find_packages

setup(name='pathology',
      version='0.1',
      url='https://github.com/the-gigi/pathology',
      license='MIT',
      author='Gigi Sayfan',
      author_email='the.gigi@gmail.com',
      description='Add static script_dir() method to Path',
      packages=find_packages(exclude=['tests']),
      long_description=open('README.md').read(),
      zip_safe=False)

Source Distribution Package

A source distribution package refers to an archive file that contains python packages, modules as well as other files that are used for a package release (for example, version 1, 2, and so on). Once the file has been distributed, end users can download and install it on their operating system. 

To create a source distribution package (sdist), you run: python setup.py sdist

Let’s build a source distribution:

$ python setup.py sdist
running sdist
running egg_info
creating pathology.egg-info
writing pathology.egg-info/PKG-INFO
writing dependency_links to pathology.egg-info/dependency_links.txt
writing top-level names to pathology.egg-info/top_level.txt
writing manifest file 'pathology.egg-info/SOURCES.txt'
reading manifest file 'pathology.egg-info/SOURCES.txt'
writing manifest file 'pathology.egg-info/SOURCES.txt'
warning: sdist: standard file not found: should have one of README, README.rst, README.txt

running check
creating pathology-0.1
creating pathology-0.1/pathology
creating pathology-0.1/pathology.egg-info
copying files to pathology-0.1...
copying setup.py -> pathology-0.1
copying pathology/__init__.py -> pathology-0.1/pathology
copying pathology/path.py -> pathology-0.1/pathology
copying pathology.egg-info/PKG-INFO -> pathology-0.1/pathology.egg-info
copying pathology.egg-info/SOURCES.txt -> pathology-0.1/pathology.egg-info
copying pathology.egg-info/dependency_links.txt -> pathology-0.1/pathology.egg-info
copying pathology.egg-info/not-zip-safe -> pathology-0.1/pathology.egg-info
copying pathology.egg-info/top_level.txt -> pathology-0.1/pathology.egg-info
Writing pathology-0.1/setup.cfg
creating dist
Creating tar archive
removing 'pathology-0.1' (and everything under it)

The warning is because I used a non-standard README.md file. It’s safe to ignore.  The command above will create an archive file with the default format for the current operating system. For Unix systems, a gzipped tar file will be generated, under the dist directory:

$ ls -la dist
total 8
drwxr-xr-x   3 gigi.sayfan  gigi.sayfan   102 Apr 18 21:20 .
drwxr-xr-x  12 gigi.sayfan  gigi.sayfan   408 Apr 18 21:20 ..
-rw-r--r--   1 gigi.sayfan  gigi.sayfan  1223 Apr 18 21:20 pathology-0.1.tar.gz

If you are using Windows, a zip file is generated.

You can also specify other additional file formats using the format option as follows.

python setup.py sdist --formats=gztar,zip

For example, the above command will generate a gzipped tarball and a zip file.

The different formats available are:

• zip: .zip
• gztar: .tar.gz
• bztar: .tar.bz2
• xztar: .tar.xz
• ztar: .tar.Z
• tar: .tar

Binary Distribution

To create a binary distribution, called a wheel, you run: python setup.py bdist_wheel

And here is a binary distribution:

$ python setup.py bdist_wheel
running bdist_wheel
running build
running build_py
creating build
creating build/lib
creating build/lib/pathology
copying pathology/__init__.py -> build/lib/pathology
copying pathology/path.py -> build/lib/pathology
installing to build/bdist.macosx-10.7-x86_64/wheel
running install
running install_lib
creating build/bdist.macosx-10.7-x86_64
creating build/bdist.macosx-10.7-x86_64/wheel
creating build/bdist.macosx-10.7-x86_64/wheel/pathology
copying build/lib/pathology/__init__.py -> build/bdist.macosx-10.7-x86_64/wheel/pathology
copying build/lib/pathology/path.py -> build/bdist.macosx-10.7-x86_64/wheel/pathology
running install_egg_info
running egg_info
writing pathology.egg-info/PKG-INFO
writing dependency_links to pathology.egg-info/dependency_links.txt
writing top-level names to pathology.egg-info/top_level.txt
reading manifest file 'pathology.egg-info/SOURCES.txt'
writing manifest file 'pathology.egg-info/SOURCES.txt'
Copying pathology.egg-info to build/bdist.macosx-10.7-x86_64/wheel/pathology-0.1-py3.6.egg-info
running install_scripts
creating build/bdist.macosx-10.7-x86_64/wheel/pathology-0.1.dist-info/WHEEL

The pathology package contains only pure Python modules, so a universal package can be built. If your package includes C extensions, you’ll have to build a separate wheel for each platform:

$ ls -la dist
total 16
drwxr-xr-x   4 gigi.sayfan  gigi.sayfan   136 Apr 18 21:24 .
drwxr-xr-x  13 gigi.sayfan  gigi.sayfan   442 Apr 18 21:24 ..
-rw-r--r--   1 gigi.sayfan  gigi.sayfan  2695 Apr 18 21:24 pathology-0.1-py3-none-any.whl
-rw-r--r--   1 gigi.sayfan  gigi.sayfan  1223 Apr 18 21:20 pathology-0.1.tar.gz

For a deeper dive into the topic of packaging Python libraries, check out How to Write Your Own Python Packages.

How to Distribute a Python Package

Python has a central package repository called PyPI (Python Packages Index). PyPI makes it easy to manage different versions of packages. For example, if a user needs to install a specific package version, pip knows where to look for it.

When you install a Python package using pip, it will download the package from PyPI (unless you specify a different repository). To distribute our pathology package, we need to upload it to PyPI and provide some extra metadata PyPI requires. The steps are:

• Upgrade your pip vesrion.
• Create an account on PyPI (just once).
• Register your package.
• Upload your package.

Upgrade Your pip Version

Ensure you have the latest version of pip installed in your operating system. To upgrade pip, issue the following command

python3 -m pip install --upgrade pip

Create an Account

You can create an account on the PyPI website. Then create a .pypirc file in your home directory:

[distutils] 
index-servers=pypi
 
[pypi]
repository = https://pypi.python.org/pypi
username = the_gigi

For testing purposes, you can add a pypitest index server to your .pypirc file:

[distutils]
index-servers=
    pypi
    pypitest

[pypitest]
repository = https://testpypi.python.org/pypi
username = the_gigi

[pypi]
repository = https://pypi.python.org/pypi
username = the_gigi

Register Your Package

If this is the first release of your package, you need to register it with PyPI. Use the register command of setup.py. It will ask you for your password. Note that I point it to the test repository here:

$ python setup.py register -r pypitest
running register
running egg_info
writing pathology.egg-info/PKG-INFO
writing dependency_links to pathology.egg-info/dependency_links.txt
writing top-level names to pathology.egg-info/top_level.txt
reading manifest file 'pathology.egg-info/SOURCES.txt'
writing manifest file 'pathology.egg-info/SOURCES.txt'
running check
Password:
Registering pathology to https://testpypi.python.org/pypi
Server response (200): OK

Upload Your Package

Now that the package is registered, we can upload it. I recommend using twine, which is more secure. Install it as usual using pip install twine. Then upload your package using twine and provide your password (redacted below):

$ twine upload -r pypitest -p <redacted> dist/*
Uploading distributions to https://testpypi.python.org/pypi
Uploading pathology-0.1-py3-none-any.whl
[================================] 5679/5679 - 00:00:02
Uploading pathology-0.1.tar.gz
[================================] 4185/4185 - 00:00:01 

The package is now available on the Pypi official site  as shown below.

To install it with pip, simply issue the following command:

pip install pathology

For a deeper dive into the topic of distributing your packages, check out How to Share Your Python Packages.

Conclusion

In this tutorial, we went through the fully fledged process of writing a Python library, packaging it, and distributing it through PyPI. At this point, you should have all the tools to write and share your libraries with the world.

This post has been updated with contributions from Esther Vaati. Esther is a software developer and writer for Envato Tuts+.