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<h1>Tutorials</h1>

<h3 id="sec-1"><span class="section-number-3"></span>Intended audience </h3>

</p>

<h3 id="sec-2"><span class="section-number-3"></span>Prerequisites </h3>

<ul>

<li>

Participants should be comfortable computer users and be familiar with programming constructs such as loops, conditionals.

</li>

<li>

Familiarity with programming editors– scite, notepad++, vi, emacs- will be a plus.

</li>

<li>

Familiarity with using the commandline will be another plus.

</li>

</ul>

<h3 id="sec-3"><span class="section-number-3"></span>Objectives </h3>

<ul>

<li>

At the end of the program the participants will have a good understanding of the Python language, and selected libraries.

</li>

<li>

They will be able to write good modular procedural code and use objects.

</li>

<li>

They will get a overview of the other major topics, features and libraries and be able to learn these on their own if required.

</li>

<li>

They will be able to generate 2-D plots using NumPy and Matplotlib, and 3-D plots using MayaVi2.

</li>

<li>

They will be able to incorporate and adapt Python in their lessons

</li>

</ul>

<h3 id="sec-4"><span class="section-number-3"></span>Coverage </h3>

<p>This is a rough outline of the topics to be covered in the

tutorials. The exact schedule of the tutorials will be put up in a

short while.

</p>

<ul>

<li>

<a href="http://www.sagemath.org" >Sage</a> 

<ul>

<li>

basic usage 

</li>

<li>

symbolic computing

</li>

<li>

numeric computing

</li>

<li>

basic plotting

</li>

</ul>

</li>

<li>

Basic Scientific Computing with Python covering the following

<ul>

<li>

ipython

</li>

<li>

pylab

</li>

<li>

numpy

</li>

<li>

scipy

</li>

<li>

basic use of Mayavi

</li>

</ul>

</li>

<li>

Basic Python

<ul>

<li>

data-types

</li>

<li>

conditionals & looping

</li>

<li>

functions & modules

</li>

</ul>

</li>

<li>

Advanced topics

<ul>

<li>

Cython

</li>

<li>

More Ipython

</li>

<li>

More Mayavi

</li>

<li>

More matplotlib

</li>

<li>

More Sage?

</li>

</ul>

</li>

</ul>

<p>Any participants using their own laptops should have the required

software installed on their machines, before coming to the venue of

the tutorials. The installation instructions are available <a href="http://fossee.in/installation-how-to">here</a>.

</p>

<h3 id="sec-5"><span class="section-number-3"></span>Methodology </h3>

<ul>

<li>

Completely hands on, exploratory mode with minimal lectures introducing essential concepts and techniques.

</li>

<li>

Typically we will have short 15 - 20 minute lectures, followed by series of graduated problems. The participants will solve them exploring the documentation to do so and the solutions will be discussed.

</li>

<li>

We shall be conducting quizzes during the course of the workshop to evaluate the degree to which the objectives have been accomplished.

</li>

</ul>

<p>Laptops can be brought by participants, and additional laptops/computers can be provided for use for those required. Charging points will be available.

</p>

<p>

As far as installations go, you would require the following:

</p>

<ul>

<li>

For Debian/ Ubuntu and the like:

(a) IPython

(b) Python doc

(c) the Python Profiler

(d) Scipy/Numpy

(e) Matplotlib

(f) Mayavi2

</li>

<li>

For Windows XP (x86), Windows Vista (x86), Mac OS X 10.4+ (x86), RedHat 3 (x86, amd64), RedHat 4 (x86, amd64), RedHat 5 (x86, amd64), and Solaris 10 (x86, amd64) :

(a) get the EPD (<a href="http://www.enthought.com/products/epd.php">http://www.enthought.com/products/epd.php</a>) bundle and you'll have everything you need! This is available for free for those in academia and others can utilize the free 30 day trial version for now.

</li>

</ul>

<p>In any case, we will be providing live DVDs containing all the required installations and some additional tools on site. The iso can also be downloaded from the fossee.in site (<a href="http://fossee.in/download#DVDs">http://fossee.in/download#DVDs</a>).

</p>

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