This is the cmc-corpora2017 Jekyll Website
It is based on the Project Zeppelin / GDG DevFest 2014 site template and is built on top of Jekyll - simple, blog-aware, static site generator. Jekyll also happens to be the engine behind GitHub Pages, which means you can use Jekyll to host your website from GitHub’s servers for free. Learn more about Jekyll.
- Easy to setup
- Simple and responsive design
- Integrated speakers and sessions management
- SVG icons
- SEO friendly
- Fork the original repo
- Clone locally
- Update
_config.yml
- Select what content blocks do you need
- Push changes to
gh-pages
branch - Enjoy your awesome DevFest site at
http://[your github name].github.io/zeppelin/
Or watch project presentation from GDG[x] Townhall meeting. Slides available here
Check if you have all requirements for local environment. To install all development dependencies install Bundler.
gem install bundler
and run next command from root folder:
bundle install
To start Jekyll run:
jekyll serve -w
Site will be available at http://127.0.0.1:4000/zeppelin/ or http://localhost:4000/zeppelin/ (on Windows)
NOTE: in this mode all changes to html and data files will be automatically regenerated, but after changing _config.yml
you have to restart server.
Note: You need to install Node.js
To watch changes of .sass
files and compile it to the .css
on a fly change property safe: true
to safe: false
in _config.yml
.
Note: It works only on local machine, because GitHub runs Jekyll in --save
mode
Learn more about Sass development from documentation.
You can optimize images and minify css and javascript automatically (for now only on Windows).
But for Mac OS users available amazing tool - imageoptim. Thanks @raphaelsavina for link.
Optimize all images by running this script from /automation/images/
folder:
all_image_optimization.bat -d -jtran -pout -pquant -optip -gsicle -svgo
To minify CSS and JS run minify_js.bat
(for Windows) and minify_js.sh
(for Linux and MacOS) from /automation/minifying/
folder:
minify_js.bat
Learn more about available optimization options from documentation.
Quick-start guide is not enough? Checkout full documentation.
Project is published under the MIT license. Feel free to clone and modify repo as you want, but don't forget to add reference to authors :)