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Tool for easily putting up the scaffold of a Python project

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PyScaffold helps you to easily setup a new Python project, it is as easy as:

putup my_project

This will create a new subdirectory called my_project, inside which you will find a git repository, setup.py, and the folders document and test, ready for some serious coding.

Type putup -h to learn about more configuration options. PyScaffold assumes that you have Git installed and set up on your PC, meaning at least your name and email configured. The scaffold of my_project provides you with following features:

Configuration & Packaging

All configuration can be done in setup.cfg like changing the description, url, classifiers and even console scripts of your project. That means in most cases it is not necessary to tamper with setup.py.

In order to build a source, binary or wheel distribution, just run python setup.py sdist, python setup.py bdist or python setup.py bdist_wheel.

Namespace Packages

Optionally, namespace packages can be used, if you are planning to distribute a larger package as a collection of smaller ones. For example, use:

putup my_project --package my_package --with-namespace com.my_domain

to define my_package inside the namespace com.my_domain in java-style.

Package and Files Data

Additional data inside your package (package_data) or in the root directory of your project (data_files) can be configured in setup.cfg. To read this data in your code, use:

from pkgutil import get_data
data = get_data('my_package', 'path/to/my/data.txt')

Complete Git Integration

Your project is already an initialised Git repository and setup.py uses the information of tags to infer the version of your project with the help of setuptools_scm. To use this feature you need to tag with the format MAJOR.MINOR[.PATCH] , e.g. 0.0.1 or 0.1. Run python setup.py --version to retrieve the current PEP440-compliant version. This version will be used when building a package and is also accessible through my_project.__version__.

Unleash the power of Git by using its pre-commit hooks. This feature is available through the --with-pre-commit flag. After your project’s scaffold was generated, make sure pre-commit is installed, e.g. pip install pre-commit, then just run pre-commit install.

It goes unsaid that also a default .gitignore file is provided that is well adjusted for Python projects and the most common tools.

Sphinx Documentation

Build the documentation with python setup.py docs and run doctests with python setup.py doctest. Start editing the file docs/index.rst to extend the documentation. The documentation also works with Read the Docs.

In order to use the numpydoc documentation style, the flag --with-numpydoc can be specified.

Unittest & Coverage

Run python setup.py test to run all unittests defined in the subfolder tests with the help of py.test and pytest-runner. Some sane default flags for py.test are already defined in the [pytest] section of setup.cfg. The py.test plugin pytest-cov is used to automatically generate a coverage report. It is also possible to provide additional parameters and flags on the commandline, e.g., type:

python setup.py test --addopts -h

to show the help of py.test.

JUnit and Coverage HTML/XML

For usage with a continuous integration software JUnit and Coverage XML output can be activated in setup.cfg. Use the flag --with-travis to generate templates of the Travis configuration files .travis.yml and tests/travis_install.sh which even features the coverage and stats system Coveralls. In order to use the virtualenv management and test tool Tox the flag --with-tox can be specified.

Requirements Management

Add the requirements of your project to the requirements.txt file which will be automatically used by setup.py. This also allows you to easily customize a plain virtual environment with:

pip install -r requirements.txt

Licenses

All licenses from choosealicense.com can be easily selected with the help of the --license flag.

Django

Create a Django project with the flag --with-django which is equivalent to django-admin.py startproject my_project enhanced by PyScaffold’s features.

Cookiecutter

With the help of Cookiecutter it is possible to customize your project setup. Just use the flag --with-cookiecutter TEMPLATE to use a cookiecutter template which will be refined by PyScaffold afterwards.

Easy Updating

Keep your project’s scaffold up-to-date by applying putput --update my_project when a new version of PyScaffold was released. An update will only overwrite files that are not often altered by users like setup.py. To update all files use --update --force. An existing project that was not setup with PyScaffold can be converted with putup --force existing_project. The force option is completely safe to use since the git repository of the existing project is not touched!

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