spaCy/docs/redesign/blog.jade

mixin Teaser(title, url, date_long, date_short, author, lede)
  article.post
    header
      h2
        a(href=url)= title
      .subhead
        | by 
        a(href='#', rel='author')= author
        |  on 
        time(datetime=date_short)= date_long
    p!= lede
       
      a.readmore(href='#') ►


doctype html
html(lang='en')
  head
    meta(charset='utf-8')
    title spaCy Blog
    meta(name='description', content='')
    meta(name='author', content='Matthew Honnibal')
    link(rel='stylesheet', href='css/style.css')
    //if lt IE 9
      script(src='http://html5shiv.googlecode.com/svn/trunk/html5.js')
  body#blog
    header(role='banner')
      h1.logo spaCy Blog
      .slogan Blog

    nav(role="navigation")
      ul
        li: a(href="home.html")        Home
        li: a(href="docs.html")        Docs
        li.active: a(href="blog.html") Blog
        li: a(href="license.html")     License

    main#content(role='main')
      section.intro.profile
        p
          img(src='img/matt.png')
          | Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore.
          span.social
            a(href='#') Follow me on Twitter
        nav(role='navigation')
          ul
            li
              a.button(href='#') Blog
            li
              a.button(href='#tutorials') Tutorials
      section.blogs
        +Teaser(
          "Introducing spaCy",
          "blog_intro.html",
          "February 2015",
          "2015-02-18",
          "Matthew Honnibal",
          "<strong>spaCy</strong> is a new library for text processing in Python " +
          "and Cython. I wrote it because I think small companies are terrible at " +
          "natural language processing (NLP).  Or rather: small companies are using " +
          "terrible NLP technology."
        )

        +Teaser(
          "Parsing English with 500 lines of Python",
          "blog_parser.html",
          "December 18, 2013",
          "2013-12-18",
          "Matthew Hannibal",
          "The Natural Language Processing (NLP) community has made big progress" +
          "in syntactic parsing over the last few years. It’s now possible for a" +
          "tiny Python implementation to perform better than the widely-used Stanford " +
          "PCFG parser.")

        article.post
          header
            h2
              a(href='#') Another headline
            .subhead
              | by 
              a(href='#', rel='author') Matthew Honnibal
              |  on 
              time(datetime='2013-12-18') December 18, 2013
          p
            | The Natural Language Processing (NLP) community has made big progress in syntactic parsing over the last few years. It’s now possible for a tiny Python implementation to perform better than the widely-used Stanford PCFG parser. It’s now possible for a tiny Python implementation to perform better than the widely-used Stanford PCFG parser. 
            a.readmore(href='#') ►
        article.post
          header
            h2
              a(href='#') Another headline
            .subhead
              | by 
              a(href='#', rel='author') Matthew Honnibal
              |  on 
              time(datetime='2013-12-18') December 18, 2013
          p
            | The Natural Language Processing (NLP) community has made big progress in syntactic parsing over the last few years. It’s now possible for a tiny Python implementation to perform better than the widely-used Stanford PCFG parser. It’s now possible for a tiny Python implementation to perform better than the widely-used Stanford PCFG parser. 
            a.readmore(href='#') ►
        article.post
          header
            h2
              a(href='#') Another headline
            .subhead
              | by 
              a(href='#', rel='author') Matthew Honnibal
              |  on 
              time(datetime='2013-12-18') December 18, 2013
          p
            | The Natural Language Processing (NLP) community has made big progress in syntactic parsing over the last few years. It’s now possible for a tiny Python implementation to perform better than the widely-used Stanford PCFG parser. It’s now possible for a tiny Python implementation to perform better than the widely-used Stanford PCFG parser. 
            a.readmore(href='#') ►
        .readmore
          a.button(href='#') Read more posts
      section.intro
        h2
          a.permalink(href='#tutorials', name='tutorials') Tutorials
        p
          | Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est.
      section.tutorials
        details
          summary
            h4 Tutorial #1: How to do something cool
          p
            | The Natural Language Processing (NLP) community has made big progress in syntactic parsing over the last few years. It’s now possible for a tiny Python implementation to perform better than the widely-used Stanford PCFG parser. 
            a.readmore(href='#') ►
        details
          summary
            h4 Tutorial #2
        details
          summary
            h4 Tutorial #3

    footer(role="contentinfo")
      span.slogan.copyright &copy; 2015 Syllogism Co.

    script(src='js/prism.js')