Fix link issues

website/content/pages/about.md

@@ -0,0 +1,27 @@
+title: About
+slug: about
+Template: about
+
+<img src="/images/jake.jpg" align="left" width="150" style="padding-right:20px;"/>
+My name is Jake VanderPlas.
+I am an astronomer by training, and currently am the director open software
+at the University of Washington's
+[eScience Institute](http://escience.washington.edu/), where I spend time on
+research, teaching, and developing software tools for science.
+<br clear="left"/>
+
+If you like my blog, you might also like my books:
+
+<a href="http://shop.oreilly.com/product/0636920034919.do"><img src="/images/PythonDataScience.jpg" align="left" width="100" style="padding-right:20px;"/></a>
+The *Python Data Science Handbook* by Jake VanderPlas (O'Reilly Media, 2016). This is a comprehensive introduction to the most important data science tools in the Python world. Several examples used in the book are drawn from posts on this blog.
+The content is also available as Jupyter notebooks [on GitHub](http://github.com/jakevdp/PythonDataScienceHandbook).<br clear="left"/>
+
+<a href="http://www.oreilly.com/programming/free/a-whirlwind-tour-of-python.csp"><img src="/images/WhirlwindTour.jpg" align="left" width="100" style="padding-right:20px;"/></a>
+*A Whirlwind Tour of Python* by Jake VanderPlas (O'Reilly Media, 2016). This free e-book is a fast-paced intro to Python aimed at researchers and engineers. It's content is drawn from Python intro courses and tutorials that I have taught over the years.
+The content is also available as Jupyter notebooks [on GitHub](http://github.com/jakevdp/WhirlwindTourOfPython).<br clear="left"/>
+
+<a href="http://press.princeton.edu/titles/10159.html"><img src="/images/StatisticsDataMining.jpg" align="left" width="100" style="padding-right:20px;"/></a>
+*Statistics, Machine Learning, and Data Mining in Astronomy* by Zeljko Ivezic, Andy Connolly, Jake VanderPlas, and Alex Gray (Princeton Press, 2014). This is a graduate-level text on statistical methods in astronomy, with emphasis on Python code.
+Code from the book is available at [http://astroML.org/](http://astroML.org).<br clear="left"/>
+
+Thanks for visiting!

website/copy_notebooks.py

@@ -78,7 +78,7 @@ def copy_notebooks():
         pagefile = os.path.join(PAGE_DEST_DIR, base + '.md')
         with open(pagefile, 'w') as f:
             f.write(PAGEFILE.format(title=title,
-                                    slug=base.lower(),
+                                    slug=base,
                                     notebook_file=nb,
                                     template=template,
                                     cells=cells))

website/theme/templates/booksection.html

@@ -0,0 +1,34 @@
+{% extends "base.html" %}
+{% block title %}{{ page.title }}{% endblock %}
+{% block headerimg %}{% if page.headerimg %}{{ page.headerimg }}{% else %}{{ DEFAULT_HEADER_BG }}{% endif %}{% endblock %}
+
+{% block content %}
+
+<div class="container bookinfo">
+<p>
+<img align="left" style="padding-right:10px;" src="/PythonDataScienceHandbook/figures/PDSH-cover-small.png">
+<em>This is an excerpt from the <a href="http://shop.oreilly.com/product/0636920034919.do">Python Data Science Handbook</a> by Jake VanderPlas; Jupyter notebooks are available <a href="https://github.com/jakevdp/PythonDataScienceHandbook">on GitHub</a>.</em>
+</p>
+<p>
+<em>The text is released under the <a href="https://creativecommons.org/licenses/by-nc-nd/3.0/us/legalcode">CC-BY-NC-ND license</a>, and code is released under the <a href="https://opensource.org/licenses/MIT">MIT license</a>. If you find this content useful, please consider supporting the work by <a href="http://shop.oreilly.com/product/0636920034919.do">buying the book</a>!</em>
+</p>
+</div>
+
+
+<div class="container post">
+
+    <article>
+        <header>
+            <h1>{{ page.title }}</h1>
+            {% if page.date %}
+                <time datetime="page.date.isoformat()" pubdate>{{ page.locale_date }}</time>
+            {% endif %}
+        </header>
+
+        <div class="article_content">
+            {{ page.content }}
+        </div>
+
+    </article>
+</div>
+{% endblock %}