Python Project Boilerplate
This repo provides a standardized template for Python package projects. The project structure is based on the layout recommended by Kenneth Reitz with a few modern updates.
This template is best suited for projects such as a library or framework that you intend to publish to a public or private repository. For general applications, I recommend the Python Application Template instead. For web applications and services, see Flask Quick Start and Flask Service.
- Editable install support
- Support for installing development dependencies through setup.py
- PyTest unit-test support
- An .editorconfig file
- Sphinx documentation generation
pyproject.tomlPEP 517/518 support
The project is ready to run as is. You will need Python 2.7 or later.
Create a Virtual Environment
After cloning or downloading the repo, create a Python virtual environment with:
python -m venv myvirtualenv
for Python 3.x.
For Python 2.7, use the
This will create the virtual environment in the current directory as
myvirtualeenv. You can place the virtual environment in any location. Alternative, you can use any of a number of tools for managing Python virtual environments. See note below on
pipenv, a popular option.
Activate the Virtual Environment
Now activate the virtual environment. on macOS, Linux and Unix systems, use:
On Windows with
Or Windows with PowerShell:
Install the Development Environment
pip install -e .[dev]
This will install the packages the project depends on in production as well as packages needed during development.
-eoption specifies that you wish to install the package in "editable" mode for development.
.[dev]argument directs pip to install the package that is defined by the
setup.pyfile the in the current directory and to additionally install the extra dependencies defined in the "dev" group. The additional dependencies include things like the Sphinx documentation generator, pytest, pylint and other development packages that end-users of the package will not need.
Refer to the pip install documentation for more information on these options.
At this point, you are ready to start modifying to template for your own needs.
(Optional) Using Pipenv
If you prefer to use pipenv to manage your virtual environments, you can run:
pipenv install -e .[dev]
This will have the same effect as above except that everything will be installed into a virtual environment created by pipenv.
You can run unit tests through setup.py with:
python setup.py test
or just run pytest directly:
To generate Sphinx documentation, run:
python setup.py build_sphinx
The generated documentation will be available in
When you are ready to distribute your Python package, build a wheel with:
python setup.py bdist_wheel
Alternatively, you can add the
--universaloption to the
bdist_wheelcommand to build a "universal" distribution that can be used with both Python 3.x and 2.7.x.
The wheel will be generated in the