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% Tutorial slides on Python.
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% Author: Prabhu Ramachandran <prabhu at aero.iitb.ac.in>
% Copyright (c) 2005-2009, Prabhu Ramachandran
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% Title page
\title[]{Arrays \& Least Squares Fit}

\author[FOSSEE] {FOSSEE}

\institute[IIT Bombay] {Department of Aerospace Engineering\\IIT Bombay}
\date[] {31, October 2009}
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\begin{frame}
\frametitle{Least Squares Fit}
In this session - 
\begin{itemize}
\item We shall plot a least squares fit curve for time-period(T) squared vs. length(L) plot of a Simple Pendulum. 
\item Given a file containing L and T values
\end{itemize}
\end{frame}

\begin{frame}
\frametitle{Least Squares Fit \ldots}
Machinery Required -
\begin{itemize}
\item Reading files and parsing data
\item Plotting points, lines
\item Calculating the Coefficients of the Least Squares Fit curve
\begin{itemize}
  \item Arrays
\end{itemize}
\end{itemize}
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\begin{frame}
\frametitle{Arrays}
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Least squares: Smooth curve fit. 
Array Operations: Mean, average (etc region wise like district wise and state wise from SSLC.txt) 
Subject wise average. Introduce idea of dictionary. 

Session 3

import scipy
from scipy import linalg.

choose some meaningful plot. ??
Newton's law of cooling. 
u, v, f - optics
hooke's law
Least fit curves. 


Choose a named problem. 
ODE - first order. Whatever. 


arrays, etc etc. 
sum, average, mean. whatever. statistical
sslc data
numpy load text??