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Edition

Product documentation template for Jekyll. Browse through a live demo. Start documenting your product, application, service or website with this configurable theme.

Edition template screenshot

Edition was made by CloudCannon, the Cloud CMS for Jekyll. Find more templates and themes at Jekyll Tips.

Learn Jekyll with step-by-step tutorials and videos at Jekyll Tips.

Features

  • Two column layout
  • Full text search
  • Pre-styled components
  • Auto-generated navigation based on category
  • Optimised for editing in CloudCannon
  • Change log
  • RSS/Atom feed
  • SEO tags
  • Google Analytics

Setup

  1. Add your site and author details in _config.yml.
  2. Get a workflow going to see your site's output (with CloudCannon or Jekyll locally).

Develop

Edition was built with Jekyll version 3.3.1, but should support newer versions as well.

Install the dependencies with Bundler:

$ bundle install

Run jekyll commands through Bundler to ensure you're using the right versions:

$ bundle exec jekyll serve

Editing

Edition is already optimised for adding, updating and removing documentation pages in CloudCannon.

Documentation pages

  • Add, update or remove a documentation page in the Documentation collection.
  • Change the category of a documentation page to move it to another section in the navigation.
  • Documentation pages are organised in the navigation by category, with URLs based on the path inside the _docs folder.

Change log

  • Add, update or remove change log entries from your posts.
  • Tag entries as minor or major in the front matter.

Search

  • Add excluded_in_search: true to any documentation page's front matter to exclude that page in the search results.

Navigation

  • Change site.show_full_navigation to control all or only the current navigation group being open.

Gitcha's Projects

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Minimal examples of data structures and algorithms in Python

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Attend to You: Personalized Image Captioning with Context Sequence Memory Networks. In CVPR, 2017.

cheatsheets-ai icon cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

deeplearning4j icon deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

deepqa icon deepqa

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit

front-end-interview-handbook icon front-end-interview-handbook

🕸 Almost complete answers to "Front-end Job Interview Questions" which you can use to interview potential candidates, test yourself or completely ignore

gitcha-gists icon gitcha-gists

Gitcha-Gists 예제 코드등을 공유하는 공간입니다.

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