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doit comes from the idea of bringing the power of build-tools to execute any kind of task

• Website & docs - http://pydoit.org
• Project management on github - https://github.com/pydoit/doit
• Discussion group - https://groups.google.com/forum/#!forum/python-doit
• News/twitter - https://twitter.com/py_doit

The MIT License Copyright (c) 2008-2015 Eduardo Naufel Schettino

see LICENSE file

see AUTHORS file

doit is tested on python 2.7, 3.3, 3.4.

$ python setup.py install

• six
• pyinotify (linux)
• macfsevents (mac)
• configparser (python2 only - backport of py3 configparser)

Tools required for development:

• git * VCS
• py.test * unit-tests
• mock * unit-tests
• coverage * code coverage
• epydoc * API doc generator
• sphinx * doc tool
• pyflakes * syntax checker
• doit-py * helper to run dev tasks

The best way to setup an environment to develop doit itself is to create a virtualenv...

doit$ virtualenv dev
(dev)doit$ dev/bin/activate

install doit as "editable", and add development dependencies from `dev_requirements.txt`:

(dev)doit$ pip install --editable .
(dev)doit$ pip install --requirement dev_requirements.txt

Use py.test - http://pytest.org

$ py.test

doc folder contains ReST documentation based on Sphinx.

doc$ make html

They are the base for creating the website. The only difference is that the website includes analytics tracking. To create it (after installing doit):

$ doit website

The website will also includes epydoc generated API documentation.

All documentation is spell checked using the task `spell`:

$ doit spell

It is a bit annoying that code snippets and names always fails the check, these words must be added into the file doc/dictionary.txt.

The spell checker currently uses hunspell, to install it on debian based systems install the hunspell package: apt-get install hunspell.

python -m cProfile -o output.pstats `which doit` list

gprof2dot -f pstats output.pstats | dot -Tpng -o output.png

On github create pull requests using a named feature branch.