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GoJonesy

Personal Profile, Blog and Sandbox in Django

Built with Cookiecutter Django

License

MIT

Settings

Moved to settings.

Basic Commands

Setting Up Your Users

  • To create a normal user account, just go to Sign Up and fill out the form. Once you submit it, you'll see a "Verify Your E-mail Address" page. Go to your console to see a simulated email verification message. Copy the link into your browser. Now the user's email should be verified and ready to go.
  • To create an superuser account, use this command:

    $ python manage.py createsuperuser

For convenience, you can keep your normal user logged in on Chrome and your superuser logged in on Firefox (or similar), so that you can see how the site behaves for both kinds of users.

Test coverage

To run the tests, check your test coverage, and generate an HTML coverage report:

$ coverage run manage.py test
$ coverage html
$ open htmlcov/index.html

Running tests with py.test

$ py.test

Live reloading and Sass CSS compilation

Moved to Live reloading and SASS compilation.

Sentry

Sentry is an error logging aggregator service. You can sign up for a free account at https://sentry.io/signup/?code=cookiecutter or download and host it yourself. The system is setup with reasonable defaults, including 404 logging and integration with the WSGI application.

You must set the DSN url in production.

Deployment

The following details how to deploy this application.

Heroku

See detailed cookiecutter-django Heroku documentation.

JJones's Projects

bball icon bball

basic project to help users evaluate NBA players from a fantasy basketball perspective

blog icon blog

CFE Blog Tutorial For Advanced Django Blog

cleaf_tclprocs icon cleaf_tclprocs

A collection of tcl procs used with Cloverleaf Interface Engine

degenerate icon degenerate

Daily Fantasy Sports lineup optimzer using Python and or-tools

gameday_api icon gameday_api

A Ruby API for using the Major League Baseball Gameday statistics data. MLB provides very deep statistics for all major league baseball games through Gameday. Statistics include not only the typical boxscore stats, but also down to the physics of every single pitch thrown in the game. You can find the speed, movement, and position of every pitch thrown. The Gameday API makes it easy for Ruby developers to work with all this statistical information. The test directory included with the source code contains many examples of how the API can be used. If you prefer to use SVN, the gameday_api is also available via an SVN repository at: http://code.google.com/p/gamedayapi/ If you like this project, be sure to also check out the Baseball-Tracker project also hosted on GitHub. Baseball-Tracker is a web application that uses the gameday_api. You can find a hosted version of Baseball Tracker at http://baseballstatz.heroku.com

gitignore icon gitignore

A collection of useful .gitignore templates

gojonesy icon gojonesy

Personal Profile, Blog and Sandbox Site in Django

mlb icon mlb

Vue js front end to MLB.com API

nflgame icon nflgame

An API to retrieve and read NFL Game Center JSON data. It can work with real-time data, which can be used for fantasy football.

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