Reduced the scilab content. Updated the python content. re arranged stuff
--- a/fossee-flier.tex Wed Sep 22 17:01:37 2010 +0530
+++ b/fossee-flier.tex Thu Sep 23 13:36:22 2010 +0530
@@ -79,7 +79,7 @@
We are looking for enthusiastic people to join our team. Look at
\url{http://fossee.in/hiring} for more information.
-\vspace{4in}
+%% \vspace{4in}
%% Column-3
%% Scilab Team
@@ -90,30 +90,18 @@
\url{http://scilab.in}
\end{center}
-{\bf Features of Scilab}
+{\bf Why Scilab} \\
+Scilab with Xcos is an Open Source Alternative to MATLAB
+{\bf Applications of Scilab} \\
\begin{list2}
-\item 2-D and 3-D graphics, animation
-\item Linear algebra, sparse matrices
-\item Polynomials and rational functions
-\item Interpolation, approximation
-\item Simulation: ODE solver and DAE solver
-\item Xcos: a hybrid dynamic systems modeler and simulator
-\item Classic and robust control, LMI optimization
-\item Differentiable and non-differentiable optimization
\item Signal processing
-\item Metanet: graphs and networks
-\item Parallel Scilab
-\item Statistics
-\item Interface with Computer Algebra: Maple package for Scilab code generation
-\item Interface with Fortran, Tcl/Tk, C, C++, Java, LabVIEW
-\item And a large number of contributions for various domains.
+\item Controls
+\item Virtual labs project
+\item Hardware-In-Loop-Simulation
+\item Data analysis/regression
\end{list2}
-\newpage
-%% Column-6
-%% Python Team
-
\begin{center}
\includegraphics[width=1.8in]{python}
\end{center}
@@ -121,26 +109,46 @@
{\bf Why Python}
\begin{list2}
-\item Excellent for beginners, yet superb for experts
-\item Highly scalable, suitable for large projects as well as small ones
-\item Portable, cross-platform
+\item Easy to learn
+\item Can be coded in Procedural and Object Oriented way
+\item Portable and cross-platform
\item Good for Scientific computing but not confined to it. Full fledged programming language
-\item Well documented
-\item Wealth of 3rd party packages.
\item SAGE, numpy, scipy and matplotlib make it a complete Open Source alternative to MATLAB, Mathematica, Magma and Maple
\end{list2}
+{\bf Applications of Python}\\
+
+\begin{list2}
+\item Numeric and Symbolic computation
+\item Exploration and Visualization
+\item High performance
+\item Parallel computing
+\item User interfaces, Web
+\item Designing games
+\end{list2}
+
{\bf Salient features of our Workshops}
\begin{list2}
-\item Easy to learn, recipe based approach designed for complete
- beginners
-\item Learn to use Python for Scientific Computing without having to
- learn much of language specific features Python
+\item Recipe based approach designed for complete beginners
+\item High quality material taught by experts in the domain
+\item Large variety of real world examples, exercises and tests
+\item Get started with using Python for scientific purposes right away
\item Participation certificate endorsed by IIT-B
\item Free of cost
\end{list2}
+\newpage
+
+\hspace{0.1in}
+\includegraphics[width=1.4in]{sage}
+\hspace{0.1in}
+\includegraphics[width=0.7in]{scipy}
+\hspace{0.1in}
+\includegraphics[width=0.7in]{mayavi}
+
+\vspace{0.5in}
+
{\bf How to get involved}
\begin{list2}
@@ -148,13 +156,8 @@
\item Participate in textbook conversion
\item Review material of converted textbooks
\end{list2}
-\hspace{0.1in}
-\includegraphics[width=1.4in]{sage}
-\hspace{0.1in}
-\includegraphics[width=0.7in]{scipy}
-\hspace{0.1in}
-\includegraphics[width=0.7in]{mayavi}
-\vspace{2.5in}
+
+\vspace{3in}
%% Column-5
%% Hiring & Contact Us