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%Tutorial slides on Python.

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% Author: FOSSEE 

% Copyright (c) 2009, FOSSEE, IIT Bombay

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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}