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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Tutorial slides on Python.
%
% Author: FOSSEE
% Copyright (c) 2009, FOSSEE, IIT Bombay
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\usepackage[english]{babel}
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%\usepackage{times}
\usepackage[T1]{fontenc}
% Taken from Fernando's slides.
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\usepackage[scaled=.95]{helvet}
\definecolor{darkgreen}{rgb}{0,0.5,0}
\usepackage{listings}
\lstset{language=Python,
basicstyle=\ttfamily\bfseries,
commentstyle=\color{red}\itshape,
stringstyle=\color{darkgreen},
showstringspaces=false,
keywordstyle=\color{blue}\bfseries}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% Title page
\title{Python for Scientific Computing : Large Scale Data Processing}
\author[FOSSEE] {FOSSEE}
\institute[IIT Bombay] {Department of Aerospace Engineering\\IIT Bombay}
\date{}
% DOCUMENT STARTS
\begin{document}
\begin{frame}
\maketitle
\end{frame}
\begin{frame}
\frametitle{About the Session}
\begin{block}{Goal}
We read and process large data file to solve a problem.
\end{block}
\begin{block}{Checklist}
\begin{itemize}
\item sslc.txt
\end{itemize}
\end{block}
\end{frame}
\begin{frame}
\frametitle{Structure of the file}
Understanding the structure of sslc.txt
\begin{itemize}
\item 180,000 lines.
\item Each line in the file has a student's details(record)
\item Each record consists of fields separated by ';'
\end{itemize}
\end{frame}
\begin{frame}
\frametitle{Structure of the file \ldots}
\emphbar{A;015163;JOSEPH RAJ S;083;042;47;AA;72;244;;;}
Each record consists of:
\begin{itemize}
\item Region Code : 'A'
\item Roll Number : '015163'
\item Name : 'JOSEPH RAJ S'
\item Marks of 5 subjects: English(083), Hindi(042), Maths(47), Science(AA), Social(72)
\item Total marks : 244
\item Pass/Fail (P/F) : ' '
\item Withheld (W) : ' '
\end{itemize}
\end{frame}
%% \begin{frame}
%% \frametitle{Statistical Analysis: Problem statement}
%% 1. Read the data supplied in the file \emph{sslc.txt} and carry out the following:
%% \begin{block}{}
%% Draw a pie chart representing proportion of students who scored more than 90\% in each region in Science.
%% \end{block}
%% \end{frame}
\begin{frame}
\frametitle{Problem statement: explanation}
\emphbar{Draw a pie chart representing proportion of students who scored more than 90\% in each region in Science.}
\begin{columns}
\column{5.25\textwidth}
\hspace*{.5in}
\includegraphics[height=2.6in, interpolate=true]{data/science}
\column{0.8\textwidth}
\end{columns}
\end{frame}
\begin{frame}
\frametitle{Machinery Required}
\begin{itemize}
\item File reading
\item Dictionaries
\item Parsing
\item Plot
\end{itemize}
\end{frame}
\begin{frame}[fragile]
\frametitle{Summary}
\begin{block}{Data processing}
\begin{itemize}
\item Dictionaries
\item String parsing
\item Pie charts
\end{itemize}
\end{block}
\end{frame}
\begin{frame}
\frametitle{Thank you!}
\begin{block}{}
This session is part of \textcolor{blue}{FOSSEE} project funded by:
\begin{center}
\textcolor{blue}{NME through ICT from MHRD, Govt. of India}.
\end{center}
\end{block}
\end{frame}
\end{document}
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