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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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\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}

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\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

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\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??