Package: django-caddstat
Statistics for your Computer Aided Drug Design projects as a django specific package. View CADD Stat
now:http://caddstat.eyesopen.comRoadmapThe aim of CADD Stat is to cover all the statistics covered in theplacematthat was present at the conference.BugsIf you find a bug please send feedback via the appitself, or log anissue. If you know how to fix the bug feel free to make to fork
the repo and submit a pull request, see below.ContributingContributions are welcome as a pull request. Do not forget to add yourself to the AUTHORS file. Learn more
about GitHubpull requests. All contributions are subject
the same license as CADD Stat. To create suitable development environment in a virtualenv runpip install-rrequirements.txt. Please run the test suite before submitting a pull request:python runtests.py
# or
python setup.py testYou can test against multiple Django versions by runningtoxor run in parallel withdetox. Check our test
coverage by running:coverage run runtests.pyLicensingCADD Stat is provided with a BSD 3-clause license, see
theLICENSEfile for full details. In addition it
utilizes numerous other python open source libraries all of which are listed inrequirements.txt.AcknowledgementsBootstrapfor the look and feel using theApache license.Inspiration for the django app layout taken fromdjango-app-templateandcookiecutter-djangopackage.HTML5 Boilerplatefor HTML5 layout.GitHub Buttonsfor the watch and fork buttons.Change Log0.1 (09/16/13)Initial release with feedback from the GRC conference.Added Pearson and Cohen’s size effect tests.InstallationGrab the latest released version from PyPi and install into avirtualenv:pip install django-caddstat
pip install django-caddstat[numpy]
pip install django-caddstat[statslibs]
pip install django-caddstat[statsmodels]Multiple installation steps are required because of the way the scientific python ecosystem handles packaging. Note that
Numpy and SciPy have multiple system dependencies (e.g. Fortran) which must be met before using pip. Read more on theSciPywebsite.To install the development version of CADD Stat you must install like this:pip install -e git+https://github.com/oess/django-caddstat.git#egg=django-caddstat
pip install -e git+https://github.com/oess/django-caddstat.git#egg=django-caddstat[numpy]
pip install -e git+https://github.com/oess/django-caddstat.git#egg=django-caddstat[statslibs]
pip install -e git+https://github.com/oess/django-caddstat.git#egg=django-caddstat[statsmodels]Create or use an existing Django project:pip install django
django-admin.py startproject mysite
cd mysite/mysiteAddcaddstatandanalyticalto yourINSTALLED_APPSinsettings.py:INSTALLED_APPS = (
  ...
  'analytical',
  'caddstat',
)Add an entry to your projecturls.py:urlpatterns = patterns(
    '',
    url(r'^', include('caddstat.urls')),
    ...
)In this example CADD Stat will now be available on the root of your web site, e.g.http://127.0.0.1:8000. You can start
a local webserver with:python manage.py runserver 8000Note CADD Stat usesCeleryto place all statistical tests in a queue. The above example
doesnotuse celery.The feedback form (http://127.0.0.1:8000/feedback/) will send an email to the address specified in the settingCADDSTAT_FEEDBACK_EMAIL, the default istest@example.com. Set a new value in yoursettings.py. Ensure you have
configured a email backend within your project first, seehttps://docs.djangoproject.com/en/dev/topics/email/for more
information.