Added abstracts to conference schedule page.
authorAnoop Jacob Thomas<anoop@fossee.in>
Fri, 12 Nov 2010 22:03:26 +0530
changeset 221 ed09ea8f8ea9
parent 220 1633a9693efa
child 222 5662015fc9e2
Added abstracts to conference schedule page.
project/templates/talk/conf_schedule.html
--- a/project/templates/talk/conf_schedule.html	Fri Nov 12 21:06:49 2010 +0530
+++ b/project/templates/talk/conf_schedule.html	Fri Nov 12 22:03:26 2010 +0530
@@ -1,52 +1,101 @@
 {% extends "base.html" %}
 {% block content %}
-<h1>SciPy.in 2010 Conference Schedule</h1>
+<h1 class="title">SciPy.in 2010 Conference Schedule</h1>
+
+<h3 id="sec-1">A detailed list of talks will be announced after accepting the Call for Papers is complete. </h3>
+
+<h2 id="sec-1">Day 1 </h2>
 
-<h3>A detailed list of talks will be announced after accepting the Call for Papers is complete.</h3>
-<h2 id="day1">Day 1 </h2>
+<table border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides">
+<caption></caption>
+<colgroup><col align="right" /><col align="left" /><col align="left" /><col align="left" />
+</colgroup>
+<thead>
+<tr><th scope="col">Time</th><th scope="col">Agenda</th><th scope="col">Speaker</th><th scope="col">Title</th></tr>
+</thead>
+<tbody>
+<tr><td>9:00-9:30</td><td>Inauguration</td><td></td><td></td></tr>
+<tr><td>9:30-10:30</td><td>Keynote - 1</td><td>Perry Greenfield</td><td><a href="#sec-3">How Python Slithered into Astronomy</a></td></tr>
+<tr><td>10:30-10:45</td><td>Tea Break</td><td></td><td></td></tr>
+<tr><td>10:45-13:15</td><td>Talks</td><td></td><td></td></tr>
+<tr><td>13:15-14:15</td><td>Lunch</td><td></td><td></td></tr>
+<tr><td>14:15-14:45</td><td>Lightning Talks</td><td></td><td></td></tr>
+<tr><td>14:45-15:55</td><td>Talks</td><td></td><td></td></tr>
+<tr><td>15:55-16:10</td><td>Tea Break</td><td></td><td></td></tr>
+<tr><td>16:10-17:30</td><td>Talks</td><td></td><td></td></tr>
+</tbody>
+</table>
+
+<h2 id="sec-2">Day 2 </h2>
 
 <table border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides">
 <caption></caption>
-<colgroup><col class="right" /><col class="left" />
+<colgroup><col align="right" /><col align="left" /><col align="left" /><col align="left" />
 </colgroup>
 <thead>
-<tr><th scope="col" class="right">Time</th><th scope="col" class="left">Talk</th></tr>
+<tr><th scope="col">Time</th><th scope="col">Agenda</th><th scope="col">Speaker</th><th scope="col">Title</th></tr>
 </thead>
 <tbody>
-<tr><td class="right">9:00-9:30</td><td class="left">Inauguration</td></tr>
-<tr><td class="right">9:30-10:30</td><td class="left">Keynote - 1</td></tr>
-<tr><td class="right">10:30-10:45</td><td class="left">Tea Break</td></tr>
-<tr><td class="right">10:45-13:15</td><td class="left">Talks</td></tr>
-<tr><td class="right">13:15-14:15</td><td class="left">Lunch</td></tr>
-<tr><td class="right">14:15-14:45</td><td class="left">Lightning Talks</td></tr>
-<tr><td class="right">14:45-15:55</td><td class="left">Talks</td></tr>
-<tr><td class="right">15:55-16:10</td><td class="left">Tea-Break</td></tr>
-<tr><td class="right">16:10-17:30</td><td class="left">Talks</td></tr>
+<tr><td>9:00-10:00</td><td>Invited Talk 1</td><td>John Hunter</td><td><a href="#sec-2">matplotlib: Beyond the simple plot</a></td></tr>
+<tr><td>10:00-10:30</td><td>Talks</td><td></td><td></td></tr>
+<tr><td>10:30-10:45</td><td>Tea Break</td><td></td><td></td></tr>
+<tr><td>10:45-13:15</td><td>Talks</td><td></td><td></td></tr>
+<tr><td>13:15-14:15</td><td>Lunch</td><td></td><td></td></tr>
+<tr><td>14:15-14:45</td><td>Lightning Talks</td><td></td><td></td></tr>
+<tr><td>14:45-15:55</td><td>Talks</td><td></td><td></td></tr>
+<tr><td>15:55-16:10</td><td>Tea Break</td><td></td><td></td></tr>
+<tr><td>16:10-17:30</td><td>Talks</td><td></td><td></td></tr>
 </tbody>
 </table>
 
+<h2 id="sec-3">Keynote by Perry Greenfield </h2>
 
-<h2 id="day2">Day 2 </h2>
+<p>Perry Greenfield
+</p>
+
+<h3 id="sec-3_1">Title </h3>
+
+<p>How Python Slithered into Astronomy
+</p>
+
+<h3 id="sec-3_2">Talk/Paper Abstract </h3>
 
+<p>
+I will talk about how Python was used to solve our problems for the
+Hubble Space Telescope. From humble beginnings as a glue element for
+our legacy software, it has become a cornerstone of our scientific
+software for HST and the next large space telescope, the James Webb
+Space Telescope, as well as many other astronomy projects. The talk
+will also cover some of the history of essential elements for
+scientific Python and where future work is needed, and why Python is
+so well suited for scientific software.
+</p>
+
+<h2 id="sec-4">Invited Talk 1 </h2>
 
-<table border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides">
-<caption></caption>
-<colgroup><col class="right" /><col class="left" />
-</colgroup>
-<thead>
-<tr><th scope="col" class="right">Time</th><th scope="col" class="left">Talk</th></tr>
-</thead>
-<tbody>
-<tr><td class="right">9:00-10:00</td><td class="left">Keynote - 2</td></tr>
-<tr><td class="right">10:00-10:30</td><td class="left">Talks</td></tr>
-<tr><td class="right">10:30-10:45</td><td class="left">Tea Break</td></tr>
-<tr><td class="right">10:45-13:15</td><td class="left">Talks</td></tr>
-<tr><td class="right">13:15-14:15</td><td class="left">Lunch</td></tr>
-<tr><td class="right">14:15-14:45</td><td class="left">Lightning Talks</td></tr>
-<tr><td class="right">14:45-15:55</td><td class="left">Talks</td></tr>
-<tr><td class="right">15:55-16:10</td><td class="left">Tea-Break</td></tr>
-<tr><td class="right">16:10-17:30</td><td class="left">Talks</td></tr>
-</tbody>
-</table>
+<p>John Hunter
+</p>
+
+<h3 id="sec-4_1">Title </h3>
+
+<p>matplotlib: Beyond the simple plot
+</p>
+
+<h3 id="sec-4_2">Talk/Paper Abstract: </h3>
 
+<p>matplotlib, a python package for making sophisticated publication
+quality 2D graphics, and some 3D, has long supported a wide variety
+of basic plotting types such line graphs, bar charts, images,
+spectral plots, and more.  In this talk, we will look at some of the
+new features and performance enhancements in matplotlib as well as
+some of the comparatively undiscovered features such as interacting
+with your data and graphics, and animating plot elements with the
+new animations API.  We will explore the performance with large
+datasets utilizing the new path simplification algorithm, and
+discuss areas where performance improvements are still needed.
+Finally, we will demonstrate the new HTML5 backend, which in
+combination with the new HTML5 IPython front-end under development,
+will enable an interactive Python shell with interactive graphics in
+a web browser.
+</p>
 {% endblock content %}