--- a/basic_datatypes_and_operators/quickref.tex	Wed Dec 01 16:51:35 2010 +0530
+++ b/basic_datatypes_and_operators/quickref.tex	Thu Dec 02 14:43:42 2010 +0530
@@ -1,8 +1,5 @@
-\documentclass{article}
-\begin{Document}
-\begin{center}
 \textbf{Basic DataType Quick Reference}\\
-\end{center}
+
 Declaring an Integer:\\
 {\ex \lstinline|  b=9999999999999999999 |}
 
@@ -46,4 +43,3 @@
 Join lists to create strings:\\
 {\ex \lstinline| ','.join['List','joined','on','commas'] |}
 
-\end{Document}

--- a/manipulating_strings/quickref.tex	Wed Dec 01 16:51:35 2010 +0530
+++ b/manipulating_strings/quickref.tex	Thu Dec 02 14:43:42 2010 +0530
@@ -4,8 +4,8 @@
 
 \lstinline|s = `Hello World'|\\
 \lstinline|s[0:5]| gives \texttt{Hello}\\
-\lstinline|s[6:]| gives \textt{World}\\
-\lstinline|s[6::2]| gives \textt{Wrd}\\
+\lstinline|s[6:]| gives \texttt{World}\\
+\lstinline|s[6::2]| gives \texttt{Wrd}\\
 
 \lstinline|s.replace('e', 'a')| returns a new string with all e's
 replaced by a.  

Binary file other_type_of_plots/bar-chart-hatch.png has changed

--- a/other_type_of_plots/company-a-data.txt	Wed Dec 01 16:51:35 2010 +0530
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,2 +0,0 @@
-2.000000000000000000e+03 2.001000000000000000e+03 2.002000000000000000e+03 2.003000000000000000e+03 2.004000000000000000e+03 2.005000000000000000e+03 2.006000000000000000e+03 2.007000000000000000e+03 2.008000000000000000e+03 2.009000000000000000e+03 2.010000000000000000e+03
-2.300000000000000000e+01 5.500000000000000000e+01 3.200000000000000000e+01 6.500000000000000000e+01 8.800000000000000000e+01 5.000000000000000000e+00 1.400000000000000000e+01 6.700000000000000000e+01 2.300000000000000000e+01 2.300000000000000000e+01 1.200000000000000000e+01

--- a/other_type_of_plots/questions.rst	Wed Dec 01 16:51:35 2010 +0530
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,85 +0,0 @@
-Objective Questions
--------------------
-
-.. A mininum of 8 questions here (along with answers)
-
-1. What is a log-log chart?
-
-   a. A straight line graph
-   #. A graph on the logarithmic scale
-   #. A graph on the logarithmic scale with different scales for x and
-      y axes
-   #. A graph in which x axis is represented in logarithmic scale.
-
-Answer: A graph on the logarithmic scale with different scales for x
- 	and y axes
-
-2. We have two lists with us ``years`` and ``profit``, what statement
-   can be issued to plot a pie chart to plot the profit for each year,
-   and each wedge has to be labelled with the corresponding year.
-
-Answer: pie(profit, labels=years)
-
-3. We have two lists with us ``years`` and profit``, what statement
-   can be issued to plot a scatter plot of the data in blue colored
-   diamonds. ``years`` has to be plotted along x-axis.
-
-Answer: scatter(year,profit,color='blue',marker='d')
-
-4. ``scatter(x, y, color='blue', marker='d')`` and ``plot(x, y,
-   color='b', marker='d')`` does exactly the same.
-
-   a. True
-   #. False
-
-Answer: False
-
-5. ``plot(x, y, 'bd')`` creates a scattered plot in blue color and
-   diamond markers?
-
-   a. True
-   #. False
-
-Answer: True
-
-6. ``scatter(x, y, 'bd')`` creates a scatter plot in blue color with
-   diamond markers.
-
-   a. True
-   #. False
-
-Answer: False
-
-7. What statement can be issued to generate a bar chart with 135\
-   :sup:`o` hatched bar filled with white.
-
-   a. bar(x, y, color='w', hatch='/')
-   #. bar(x, y, color='w', hatch='\\')
-   #. bar(x, y, color='w', hatch='\')
-   #. bar(x, y, color='w', hatch='|')
-
-Answer: bar(x, y, color='w', hatch='\\')
-
-8. What statement can be issued to generate a bar chart with vertical
-   line hatching.
-
-   a. bar(x, y, color='w', hatch='/')
-   #. bar(x, y, fill=False, hatch='\\')
-   #. bar(x, y, fill=False, hatch='|')
-   #. bar(x, y, color='w', hatch='\')
-
-Answer: bar(x, y, fill=False, hatch='|')
-
-Larger Questions
-----------------
-
-.. A minimum of 2 questions here (along with answers)
-
-1. Plot a log-log chart of the equation y=4*x\ :sup:`2` + 3*x for x
-   from -50 to 50.
-
-2. Plot a bar chart which is filled with white color and which is
-   hatched with 135\ :sup:`o` slanting lines for the data given in the
-   `file(company A data) <company-a-data.txt>`_ which has years and
-   profit percentage for each year.
-

--- a/other_type_of_plots/quickref.tex	Wed Dec 01 16:51:35 2010 +0530
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,11 +0,0 @@
-Creating scatter plot:\\
-{\ex \lstinline|    scatter(x, y)|}
-
-Creating pie chart:\\
-{\ex \lstinline|    pie(p, labels=l)|}
-
-Creating bar chart:\\
-{\ex \lstinline|    bar(x, y)|}
-
-Creating log-log chart:\\
-{\ex \lstinline|    loglog(x, y)|}

--- a/other_type_of_plots/script.rst	Wed Dec 01 16:51:35 2010 +0530
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,264 +0,0 @@
-.. Objectives
-.. ----------
-
-.. At the end of this tutorial, you will be able to 
-
-.. 1. Create scatter plot
-.. #. Create pie charts
-.. #. Create bar charts
-.. #. Create log-log plots.
-
-.. Prerequisites
-.. -------------
-
-..   1. should have ``ipython`` and ``pylab`` installed. 
-..   #. getting started with ``ipython``.
-..   #. loading data from files
-..   #. plotting the data
-
-     
-.. Author              : Anoop Jacob Thomas <anoop@fossee.in>
-   Internal Reviewer   : Puneeth
-   External Reviewer   :
-   Language Reviewer   : Bhanukiran
-   Checklist OK?       : <10-11-2010, Anand, OK> [2010-10-05]
-
-.. #[Puneeth: Quickref missing]
-
-===================
-Other type of plots
-===================
-
-{{{ show the first slide }}}
-
-Hello and welcome to the tutorial ``The other kinds of plots``.
-
-.. #[Puneeth: this sentence doesn't read well]
-
-{{{ show the outline slide }}}
-
-.. #[Puneeth: motivate looking at other plots. Why are we looking at
-.. them? Tell that we have only looked at one type of plot all the
-.. while, etc.]
-
-Till now we have seen only one kind of plotting, and in this tutorial we
-are going to see more kinds of plots such as the scatter plot, the pie chart, the bar chart and
-the log-log plot. This tutorial covers the making of other kinds of
-plots and also gives an introduction to matplotlib help.
-
-.. #[Puneeth: cover, see and introduce you. be consistent. does, the
-.. "We" include the viewer or not?]
-
-Let us start with scatter plot. 
-
-{{{ switch to the next slide, scatter plot }}}
-
-In a scatter plot, the data is displayed as a collection of points,
-each having the value of one variable determining the position on the
-horizontal axis and the value of the other variable determining the
-position on the vertical axis. This kind of plot is also called a
-scatter chart, a scatter diagram or a scatter graph.
-
-Before we proceed further, start your IPython interpreter
-::
-
-    ipython -pylab
-
-{{{ open the ipython interpreter in the terminal using the command
-ipython -pylab }}}
-
-{{{ switch to the next slide having the problem statement of first
-exercise }}}
-
-Now, let us plot a scatter plot showing the percentage profit of
-a company A from the year 2000-2010. The data for the same is available
-in the file ``company-a-data.txt``.
-
-{{{ open the file company-a-data.txt and show the content }}}
-
-The data file has two lines with a set of values in each line, the
-first line representing years and the second line representing the
-profit percentages.
-
-{{{ close the file and switch to the terminal }}}
-
-To produce the scatter plot, we first need to load the data from the
-file using ``loadtxt``. We learned it in one of the previous sessions,
-and it can be done as ::
-
-    year,profit =
-    loadtxt('/home/fossee/other-plot/company-a-data.txt',dtype=type(int()))
-
-By default loadtxt converts the value to float. The
-``dtype=type(int())`` argument in loadtxt converts the value to
-integer as we require the data as integer further in the tutorial.
-
-.. #[Puneeth: make a remark about dtype, that has not been covered in
-.. the loadtxt tutorial.]
-
-{{{ switch to next slide, ``scatter`` function }}}
-
-Now in-order to generate the scatter graph we will use the function 
-``scatter()`` 
-::
-
-	scatter(year,profit)
-
-Notice that we passed two arguments to ``scatter()`` function, first
-one the values in x-coordinate, year, and the other the values in
-y-coordinate, the profit percentage.
-
-{{{ switch to the next slide which has the problem statement of
-problem to be tried out }}}
-
-Now here is a question for you to try out, plot the same data with red
-diamonds markers. 
-
-.. **Clue** - *try scatter? in your ipython interpreter* 
-
-Pause here and solve the question before moving on.
-
-.. scatter(year,profit,color='r',marker='d')
-
-Now let us see another kind of plot, the pie chart, for the same data.
-
-.. #[Puneeth: instead of just saying that, say that let's plot a pie
-.. chart for the same data. continuity, will be good.]
-
-{{{ switch to the slide which says about pie chart }}}
-
-A pie chart or a circle graph is a circular chart divided into
-sectors, illustrating proportion.
-
-{{{ switch to the slide showing the problem statement of second
-exercise question }}}
-
-Plot a pie chart representing the profit percentage of company A, with
-the same data from file ``company-a-data.txt``. So let us reuse the
-data we have loaded from the file previously.
-
-.. #[Puneeth, this part can be move above.]
-
-{{{ switch to next slide, ``pie()`` function }}}
-
-We can plot the pie chart using the function ``pie()``.
-::
-
-   pie(profit,labels=year)
-
-Notice that we passed two arguments to the function ``pie()``. First
-one the values and the next one the set of labels to be used in the
-pie chart.
-
-{{{ switch to the next slide which has the problem statement of
-problem to be tried out }}}
-
-Now here is a question for you to try out, plot a pie chart with the
-same data with colors for each wedges as white, red, black, magenta,
-yellow, blue, green, cyan, yellow, magenta and blue respectively.
-
-.. **Clue** - *try pie? in your ipython interpreter* 
-
-Pause here and solve the question before moving on.
-
-.. pie(t,labels=s,colors=('w','r','k','m','y','b','g','c','y','m','b'))
-
-{{{ switch to the slide which says about bar chart }}}
-
-Now let us move on to the bar charts. A bar chart or bar graph is a chart
-with rectangular bars with lengths proportional to the values that
-they represent.
-
-{{{ switch to the slide showing the problem statement of fifth
-exercise question }}}
-
-Plot a bar chart representing the profit percentage of company A, with
-the same data from file ``company-a-data.txt``. 
-
-So let us reuse the data we have loaded from the file previously.
-
-{{{ switch to the next slide, ``bar()`` function }}}
-
-We can plot the bar chart using the function ``bar()``.
-::
-
-   bar(year,profit)
-
-Note that the function ``bar()`` needs at least two arguments one the
-values in x-coordinate and the other values in y-coordinate which is
-used to determine the height of the bars.
-
-{{{ switch to the next slide which has the problem statement of
-problem to be tried out }}}
-
-Now here is a question for you to try, plot a bar chart which is not
-filled and which is hatched with 45\ :sup:`o` slanting lines as shown
-in the image in the slide. The data for the chart may be obtained from
-the file ``company-a-data.txt``.
-
-.. **Clue** - *try bar? in your ipython interpreter* 
-
-.. bar(year,profit,fill=False,hatch='/')
-
-{{{ switch to the slide which says about log-log graph }}}
-
-Now let us move on to the log-log plot. A log-log graph or a log-log plot is
-a two-dimensional graph of numerical data that uses logarithmic scales
-on both the horizontal and vertical axes. Because of the nonlinear
-scaling of the axes, a function of the form y = ax\ :sup:`b` will
-appear as a straight line on a log-log graph
-
-{{{ switch to the slide showing the problem statement of fourth
-exercise question }}}
-
-
-Plot a `log-log` chart of y=5*x\ :sup:`3` for x from 1-20.
-
-Before we actually plot let us calculate the points needed for
-that. 
-::
-
-    x = linspace(1,20,100)
-    y = 5*x**3
-
-{{{ switch to next slide, ``loglog()`` function }}}
-
-Now we can plot the log-log chart using ``loglog()`` function,
-::
-
-    loglog(x,y)
-
-To understand the difference between a normal ``plot`` and a ``log-log
-plot`` let us create another plot using the function ``plot``.
-::
-
-    figure(2)
-    plot(x,y)
-
-{{{ show both the plots side by side }}}
-
-So that was ``log-log() plot``.
-
-{{{ switch to the next slide which says: "How to get help on
-matplotlib online"}}}
-
-Now we will see few more plots and also see how to access help of
-matplotlib over the internet.
-
-Help about matplotlib can be obtained from
-matplotlib.sourceforge.net/contents.html
-
-
-More plots can be seen at
-matplotlib.sourceforge.net/users/screenshots.html and also at
-matplotlib.sourceforge.net/gallery.html
-
-{{{ switch to summary slide }}}
-
-Now we have come to the end of this tutorial. We have covered scatter
-plot, pie chart, bar chart, log-log plot and also saw few other plots
-and covered how to access the matplotlib online help.
-
-{{{ switch to the thank you slide }}}
-
-Thank you!

--- a/other_type_of_plots/slides.org	Wed Dec 01 16:51:35 2010 +0530
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,137 +0,0 @@
-#+LaTeX_CLASS: beamer
-#+LaTeX_CLASS_OPTIONS: [presentation]
-#+BEAMER_FRAME_LEVEL: 1
-
-#+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent}
-#+COLUMNS: %45ITEM %10BEAMER_env(Env) %10BEAMER_envargs(Env Args) %4BEAMER_col(Col) %8BEAMER_extra(Extra)
-#+PROPERTY: BEAMER_col_ALL 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 :ETC
-
-#+LaTeX_CLASS: beamer
-#+LaTeX_CLASS_OPTIONS: [presentation]
-
-#+LaTeX_HEADER: \usepackage[english]{babel} \usepackage{ae,aecompl}
-#+LaTeX_HEADER: \usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet}
-
-#+LaTeX_HEADER: \usepackage{listings}
-
-#+LaTeX_HEADER:\lstset{language=Python, basicstyle=\ttfamily\bfseries,
-#+LaTeX_HEADER:  commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen},
-#+LaTeX_HEADER:  showstringspaces=false, keywordstyle=\color{blue}\bfseries}
-
-#+TITLE: Other type of plots
-#+AUTHOR:    FOSSEE
-#+EMAIL:     
-#+DATE:    
-
-#+DESCRIPTION: 
-#+KEYWORDS: 
-#+LANGUAGE:  en
-#+OPTIONS:   H:3 num:nil toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t
-#+OPTIONS:   TeX:t LaTeX:nil skip:nil d:nil todo:nil pri:nil tags:not-in-toc
-
-* Outline
-  - Scatter plot
-  - Pie chart
-  - Bar chart
-  - Log-log Plot
-  - ~matplotlib~ help
-* Exercise 1: Scatter plot
-  Plot a scatter plot showing the percentage profit of Company A from the year 2000
-  to 2010. The data for the same is available in the file ~company-a-data.txt~.
-* ~scatter()~ function
-  - /Syntax :/ scatter(x,y)
-    - x, a sequence of data
-    - y, a sequence of data, the same length of x
-  : In []: scatter(year, profit)
-* Exercise 2: Scatter plot
-  Plot a scatter plot of the same data in ~company-a-data.txt~ with red diamond markers.
-  : 
-  *Clue* - /try scatter? in your ipython interpreter/
-* Pie chart
-  Pie chart - a circle graph divided into sectors, illustrating proportion. 
-* Exercise 3: Pie chart
-  Plot a pie chart representing the profit percentage of company A, with the data 
-  from the file ~company-a-data.txt~.
-  : 
-  /(we can reuse the data in lists year and profit)/
-* ~pie()~ function
-  - /Syntax :/ pie(values, labels=labels)
-    - values, the data to be plotted
-    - labels, the label for each wedge in the pie chart
-  : In []: pie(profit, labels=year)
-* Exercise 4: Pie chart
-  Plot a pie chart with the same data with colors for each wedges as white, red, 
-  magenta, yellow, blue, green, cyan, yellow, magenta, and blue.
-  : 
-  *Clue* - /try pie? in your ipython interpreter/
-* Bar chart
-  Bar chart - a chart with rectangular bars with lengths proportional 
-  to the values that they represent.
-* Exercise 5: Bar chart
-  Plot a bar chart representing the profit percentage of company A, with the data 
-  from the file ~company-a-data.txt~.
-  : 
-  /(we can reuse the data in lists year and profit)/
-* ~bar()~ function
-  - /Syntax :/ bar(x, y)
-    - x, a sequence of data
-    - y, a sequence of data, the same length of x
-  : In []: bar(year, profit)
-* Exercise 6: Bar chart
-  Plot a bar chart which is not filled and which is hatched with 
-  #+begin_latex
-    $45^o$
-  #+end_latex
-  slanting lines as shown in the image. The data for the chart may be
-  obtained from the file ~company-a-data.txt~.
-  #+begin_latex
-   \begin{center}
-      \includegraphics[scale=0.3]{bar-chart-hatch}    
-    \end{center}
-  #+end_latex
-  *Clue* - /try bar? in your ipython interpreter/
-* Log-log graph
-  - Log-log graph
-    - 2-dimensional graph.
-    - uses logarithmic scales on both axes.
-    - graph appears as straight line due to non-linear scaling.
-* Exercise 7:
-  Plot a log-log chart of 
-  #+begin_latex
-    $y = 5x^3$
-  #+end_latex
-  for x from 1-20.
-* ~loglog()~ function
-  - /Syntax :/ loglog(x, y)
-    - x, a sequence of data
-    - y, a sequence of data, the same length of x
-  : In []: loglog(x, y)
-* Getting help on ~matplotlib~
-  - Help 
-    - [[matplotlib.sourceforge.net/contents.html]]
-  - More plots
-    - [[matplotlib.sourceforge.net/users/screenshots.html]]
-    - [[matplotlib.sourceforge.net/gallery.html]]
-
-* Summary
-  - Scatter plot (~scatter()~)
-  - Pie chart (~pie()~)
-  - Bar chart (~bar()~)
-  - Log-log plot (~loglog()~)
-  - ~matplotlib~ online help
-* Thank you!
-#+begin_latex
-  \begin{block}{}
-  \begin{center}
-  This spoken tutorial has been produced by the
-  \textcolor{blue}{FOSSEE} team, which is funded by the 
-  \end{center}
-  \begin{center}
-    \textcolor{blue}{National Mission on Education through \\
-      Information \& Communication Technology \\ 
-      MHRD, Govt. of India}.
-  \end{center}  
-  \end{block}
-#+end_latex
-
-

--- a/other_type_of_plots/slides.tex	Wed Dec 01 16:51:35 2010 +0530
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,280 +0,0 @@
-% Created 2010-10-12 Tue 16:22
-\documentclass[presentation]{beamer}
-\usepackage[latin1]{inputenc}
-\usepackage[T1]{fontenc}
-\usepackage{fixltx2e}
-\usepackage{graphicx}
-\usepackage{longtable}
-\usepackage{float}
-\usepackage{wrapfig}
-\usepackage{soul}
-\usepackage{t1enc}
-\usepackage{textcomp}
-\usepackage{marvosym}
-\usepackage{wasysym}
-\usepackage{latexsym}
-\usepackage{amssymb}
-\usepackage{hyperref}
-\tolerance=1000
-\usepackage[english]{babel} \usepackage{ae,aecompl}
-\usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet}
-\usepackage{listings}
-\lstset{language=Python, basicstyle=\ttfamily\bfseries,
-commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen},
-showstringspaces=false, keywordstyle=\color{blue}\bfseries}
-\providecommand{\alert}[1]{\textbf{#1}}
-
-\title{Other type of plots}
-\author{FOSSEE}
-\date{}
-
-\usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent}
-\begin{document}
-
-\maketitle
-
-
-
-
-
-
-
-
-
-\begin{frame}
-\frametitle{Outline}
-\label{sec-1}
-
-\begin{itemize}
-\item Scatter plot
-\item Pie chart
-\item Bar chart
-\item Log-log Plot
-\item \texttt{matplotlib} help
-\end{itemize}
-\end{frame}
-\begin{frame}
-\frametitle{Exercise 1: Scatter plot}
-\label{sec-2}
-
-  Plot a scatter plot showing the percentage profit of Company A from the year 2000
-  to 2010. The data for the same is available in the file \texttt{company-a-data.txt}.
-\end{frame}
-\begin{frame}[fragile]
-\frametitle{\texttt{scatter()} function}
-\label{sec-3}
-
-\begin{itemize}
-\item \emph{Syntax :} scatter(x,y)
-
-\begin{itemize}
-\item x, a sequence of data
-\item y, a sequence of data, the same length of x
-\end{itemize}
-
-\end{itemize}
-
-\begin{verbatim}
-   In []: scatter(year, profit)
-\end{verbatim}
-\end{frame}
-\begin{frame}[fragile]
-\frametitle{Exercise 2: Scatter plot}
-\label{sec-4}
-
-  Plot a scatter plot of the same data in \texttt{company-a-data.txt} with red diamond markers.
-\begin{verbatim}
-   
-\end{verbatim}
-
-  \textbf{Clue} - \emph{try scatter? in your ipython interpreter}
-\end{frame}
-\begin{frame}
-\frametitle{Pie chart}
-\label{sec-5}
-
-  Pie chart - a circle graph divided into sectors, illustrating proportion. 
-\end{frame}
-\begin{frame}[fragile]
-\frametitle{Exercise 3: Pie chart}
-\label{sec-6}
-
-  Plot a pie chart representing the profit percentage of company A, with the data 
-  from the file \texttt{company-a-data.txt}.
-\begin{verbatim}
-   
-\end{verbatim}
-
-  \emph{(we can reuse the data in lists year and profit)}
-\end{frame}
-\begin{frame}[fragile]
-\frametitle{\texttt{pie()} function}
-\label{sec-7}
-
-\begin{itemize}
-\item \emph{Syntax :} pie(values, labels=labels)
-
-\begin{itemize}
-\item values, the data to be plotted
-\item labels, the label for each wedge in the pie chart
-\end{itemize}
-
-\end{itemize}
-
-\begin{verbatim}
-   In []: pie(profit, labels=year)
-\end{verbatim}
-\end{frame}
-\begin{frame}[fragile]
-\frametitle{Exercise 4: Pie chart}
-\label{sec-8}
-
-  Plot a pie chart with the same data with colors for each wedges as white, red, 
-  magenta, yellow, blue, green, cyan, yellow, magenta, and blue.
-\begin{verbatim}
-   
-\end{verbatim}
-
-  \textbf{Clue} - \emph{try pie? in your ipython interpreter}
-\end{frame}
-\begin{frame}
-\frametitle{Bar chart}
-\label{sec-9}
-
-  Bar chart - a chart with rectangular bars with lengths proportional 
-  to the values that they represent.
-\end{frame}
-\begin{frame}[fragile]
-\frametitle{Exercise 5: Bar chart}
-\label{sec-10}
-
-  Plot a bar chart representing the profit percentage of company A, with the data 
-  from the file \texttt{company-a-data.txt}.
-\begin{verbatim}
-   
-\end{verbatim}
-
-  \emph{(we can reuse the data in lists year and profit)}
-\end{frame}
-\begin{frame}[fragile]
-\frametitle{\texttt{bar()} function}
-\label{sec-11}
-
-\begin{itemize}
-\item \emph{Syntax :} bar(x, y)
-
-\begin{itemize}
-\item x, a sequence of data
-\item y, a sequence of data, the same length of x
-\end{itemize}
-
-\end{itemize}
-
-\begin{verbatim}
-   In []: bar(year, profit)
-\end{verbatim}
-\end{frame}
-\begin{frame}
-\frametitle{Exercise 6: Bar chart}
-\label{sec-12}
-
-  Plot a bar chart which is not filled and which is hatched with 
-    $45^o$
-  slanting lines as shown in the image. The data for the chart may be
-  obtained from the file \texttt{company-a-data.txt}.
-   \begin{center}
-      \includegraphics[scale=0.3]{bar-chart-hatch}    
-    \end{center}
-  \textbf{Clue} - \emph{try bar? in your ipython interpreter}
-\end{frame}
-\begin{frame}
-\frametitle{Log-log graph}
-\label{sec-13}
-
-\begin{itemize}
-\item Log-log graph
-
-\begin{itemize}
-\item 2-dimensional graph.
-\item uses logarithmic scales on both axes.
-\item graph appears as straight line due to non-linear scaling.
-\end{itemize}
-
-\end{itemize}
-\end{frame}
-\begin{frame}
-\frametitle{Exercise 7:}
-\label{sec-14}
-
-  Plot a log-log chart of 
-    $y = 5x^3$
-  for x from 1-20.
-\end{frame}
-\begin{frame}[fragile]
-\frametitle{\texttt{loglog()} function}
-\label{sec-15}
-
-\begin{itemize}
-\item \emph{Syntax :} loglog(x, y)
-
-\begin{itemize}
-\item x, a sequence of data
-\item y, a sequence of data, the same length of x
-\end{itemize}
-
-\end{itemize}
-
-\begin{verbatim}
-   In []: loglog(x, y)
-\end{verbatim}
-\end{frame}
-\begin{frame}
-\frametitle{Getting help on \texttt{matplotlib}}
-\label{sec-16}
-
-\begin{itemize}
-\item Help
-
-\begin{itemize}
-\item \hyperref[sec-16]{matplotlib.sourceforge.net/contents.html}
-\end{itemize}
-
-\item More plots
-
-\begin{itemize}
-\item \hyperref[sec-16]{matplotlib.sourceforge.net/users/screenshots.html}
-\item \hyperref[sec-16]{matplotlib.sourceforge.net/gallery.html}
-\end{itemize}
-
-\end{itemize}
-\end{frame}
-\begin{frame}
-\frametitle{Summary}
-\label{sec-17}
-
-\begin{itemize}
-\item Scatter plot (\texttt{scatter()})
-\item Pie chart (\texttt{pie()})
-\item Bar chart (\texttt{bar()})
-\item Log-log plot (\texttt{loglog()})
-\item \texttt{matplotlib} online help
-\end{itemize}
-\end{frame}
-\begin{frame}
-\frametitle{Thank you!}
-\label{sec-18}
-
-  \begin{block}{}
-  \begin{center}
-  This spoken tutorial has been produced by the
-  \textcolor{blue}{FOSSEE} team, which is funded by the 
-  \end{center}
-  \begin{center}
-    \textcolor{blue}{National Mission on Education through \\
-      Information \& Communication Technology \\ 
-      MHRD, Govt. of India}.
-  \end{center}  
-  \end{block}
-\end{frame}
-
-\end{document}

Binary file other_types_of_plots/bar-chart-hatch.png has changed

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/other_types_of_plots/company-a-data.txt	Thu Dec 02 14:43:42 2010 +0530
@@ -0,0 +1,2 @@
+2.000000000000000000e+03 2.001000000000000000e+03 2.002000000000000000e+03 2.003000000000000000e+03 2.004000000000000000e+03 2.005000000000000000e+03 2.006000000000000000e+03 2.007000000000000000e+03 2.008000000000000000e+03 2.009000000000000000e+03 2.010000000000000000e+03
+2.300000000000000000e+01 5.500000000000000000e+01 3.200000000000000000e+01 6.500000000000000000e+01 8.800000000000000000e+01 5.000000000000000000e+00 1.400000000000000000e+01 6.700000000000000000e+01 2.300000000000000000e+01 2.300000000000000000e+01 1.200000000000000000e+01

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/other_types_of_plots/questions.rst	Thu Dec 02 14:43:42 2010 +0530
@@ -0,0 +1,85 @@
+Objective Questions
+-------------------
+
+.. A mininum of 8 questions here (along with answers)
+
+1. What is a log-log chart?
+
+   a. A straight line graph
+   #. A graph on the logarithmic scale
+   #. A graph on the logarithmic scale with different scales for x and
+      y axes
+   #. A graph in which x axis is represented in logarithmic scale.
+
+Answer: A graph on the logarithmic scale with different scales for x
+ 	and y axes
+
+2. We have two lists with us ``years`` and ``profit``, what statement
+   can be issued to plot a pie chart to plot the profit for each year,
+   and each wedge has to be labelled with the corresponding year.
+
+Answer: pie(profit, labels=years)
+
+3. We have two lists with us ``years`` and profit``, what statement
+   can be issued to plot a scatter plot of the data in blue colored
+   diamonds. ``years`` has to be plotted along x-axis.
+
+Answer: scatter(year,profit,color='blue',marker='d')
+
+4. ``scatter(x, y, color='blue', marker='d')`` and ``plot(x, y,
+   color='b', marker='d')`` does exactly the same.
+
+   a. True
+   #. False
+
+Answer: False
+
+5. ``plot(x, y, 'bd')`` creates a scattered plot in blue color and
+   diamond markers?
+
+   a. True
+   #. False
+
+Answer: True
+
+6. ``scatter(x, y, 'bd')`` creates a scatter plot in blue color with
+   diamond markers.
+
+   a. True
+   #. False
+
+Answer: False
+
+7. What statement can be issued to generate a bar chart with 135\
+   :sup:`o` hatched bar filled with white.
+
+   a. bar(x, y, color='w', hatch='/')
+   #. bar(x, y, color='w', hatch='\\')
+   #. bar(x, y, color='w', hatch='\')
+   #. bar(x, y, color='w', hatch='|')
+
+Answer: bar(x, y, color='w', hatch='\\')
+
+8. What statement can be issued to generate a bar chart with vertical
+   line hatching.
+
+   a. bar(x, y, color='w', hatch='/')
+   #. bar(x, y, fill=False, hatch='\\')
+   #. bar(x, y, fill=False, hatch='|')
+   #. bar(x, y, color='w', hatch='\')
+
+Answer: bar(x, y, fill=False, hatch='|')
+
+Larger Questions
+----------------
+
+.. A minimum of 2 questions here (along with answers)
+
+1. Plot a log-log chart of the equation y=4*x\ :sup:`2` + 3*x for x
+   from -50 to 50.
+
+2. Plot a bar chart which is filled with white color and which is
+   hatched with 135\ :sup:`o` slanting lines for the data given in the
+   `file(company A data) <company-a-data.txt>`_ which has years and
+   profit percentage for each year.
+

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/other_types_of_plots/quickref.tex	Thu Dec 02 14:43:42 2010 +0530
@@ -0,0 +1,11 @@
+Creating scatter plot:\\
+{\ex \lstinline|    scatter(x, y)|}
+
+Creating pie chart:\\
+{\ex \lstinline|    pie(p, labels=l)|}
+
+Creating bar chart:\\
+{\ex \lstinline|    bar(x, y)|}
+
+Creating log-log chart:\\
+{\ex \lstinline|    loglog(x, y)|}

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/other_types_of_plots/script.rst	Thu Dec 02 14:43:42 2010 +0530
@@ -0,0 +1,264 @@
+.. Objectives
+.. ----------
+
+.. At the end of this tutorial, you will be able to 
+
+.. 1. Create scatter plot
+.. #. Create pie charts
+.. #. Create bar charts
+.. #. Create log-log plots.
+
+.. Prerequisites
+.. -------------
+
+..   1. should have ``ipython`` and ``pylab`` installed. 
+..   #. getting started with ``ipython``.
+..   #. loading data from files
+..   #. plotting the data
+
+     
+.. Author              : Anoop Jacob Thomas <anoop@fossee.in>
+   Internal Reviewer   : Puneeth
+   External Reviewer   :
+   Language Reviewer   : Bhanukiran
+   Checklist OK?       : <10-11-2010, Anand, OK> [2010-10-05]
+
+.. #[Puneeth: Quickref missing]
+
+===================
+Other type of plots
+===================
+
+{{{ show the first slide }}}
+
+Hello and welcome to the tutorial ``The other kinds of plots``.
+
+.. #[Puneeth: this sentence doesn't read well]
+
+{{{ show the outline slide }}}
+
+.. #[Puneeth: motivate looking at other plots. Why are we looking at
+.. them? Tell that we have only looked at one type of plot all the
+.. while, etc.]
+
+Till now we have seen only one kind of plotting, and in this tutorial we
+are going to see more kinds of plots such as the scatter plot, the pie chart, the bar chart and
+the log-log plot. This tutorial covers the making of other kinds of
+plots and also gives an introduction to matplotlib help.
+
+.. #[Puneeth: cover, see and introduce you. be consistent. does, the
+.. "We" include the viewer or not?]
+
+Let us start with scatter plot. 
+
+{{{ switch to the next slide, scatter plot }}}
+
+In a scatter plot, the data is displayed as a collection of points,
+each having the value of one variable determining the position on the
+horizontal axis and the value of the other variable determining the
+position on the vertical axis. This kind of plot is also called a
+scatter chart, a scatter diagram or a scatter graph.
+
+Before we proceed further, start your IPython interpreter
+::
+
+    ipython -pylab
+
+{{{ open the ipython interpreter in the terminal using the command
+ipython -pylab }}}
+
+{{{ switch to the next slide having the problem statement of first
+exercise }}}
+
+Now, let us plot a scatter plot showing the percentage profit of
+a company A from the year 2000-2010. The data for the same is available
+in the file ``company-a-data.txt``.
+
+{{{ open the file company-a-data.txt and show the content }}}
+
+The data file has two lines with a set of values in each line, the
+first line representing years and the second line representing the
+profit percentages.
+
+{{{ close the file and switch to the terminal }}}
+
+To produce the scatter plot, we first need to load the data from the
+file using ``loadtxt``. We learned it in one of the previous sessions,
+and it can be done as ::
+
+    year,profit =
+    loadtxt('/home/fossee/other-plot/company-a-data.txt',dtype=type(int()))
+
+By default loadtxt converts the value to float. The
+``dtype=type(int())`` argument in loadtxt converts the value to
+integer as we require the data as integer further in the tutorial.
+
+.. #[Puneeth: make a remark about dtype, that has not been covered in
+.. the loadtxt tutorial.]
+
+{{{ switch to next slide, ``scatter`` function }}}
+
+Now in-order to generate the scatter graph we will use the function 
+``scatter()`` 
+::
+
+	scatter(year,profit)
+
+Notice that we passed two arguments to ``scatter()`` function, first
+one the values in x-coordinate, year, and the other the values in
+y-coordinate, the profit percentage.
+
+{{{ switch to the next slide which has the problem statement of
+problem to be tried out }}}
+
+Now here is a question for you to try out, plot the same data with red
+diamonds markers. 
+
+.. **Clue** - *try scatter? in your ipython interpreter* 
+
+Pause here and solve the question before moving on.
+
+.. scatter(year,profit,color='r',marker='d')
+
+Now let us see another kind of plot, the pie chart, for the same data.
+
+.. #[Puneeth: instead of just saying that, say that let's plot a pie
+.. chart for the same data. continuity, will be good.]
+
+{{{ switch to the slide which says about pie chart }}}
+
+A pie chart or a circle graph is a circular chart divided into
+sectors, illustrating proportion.
+
+{{{ switch to the slide showing the problem statement of second
+exercise question }}}
+
+Plot a pie chart representing the profit percentage of company A, with
+the same data from file ``company-a-data.txt``. So let us reuse the
+data we have loaded from the file previously.
+
+.. #[Puneeth, this part can be move above.]
+
+{{{ switch to next slide, ``pie()`` function }}}
+
+We can plot the pie chart using the function ``pie()``.
+::
+
+   pie(profit,labels=year)
+
+Notice that we passed two arguments to the function ``pie()``. First
+one the values and the next one the set of labels to be used in the
+pie chart.
+
+{{{ switch to the next slide which has the problem statement of
+problem to be tried out }}}
+
+Now here is a question for you to try out, plot a pie chart with the
+same data with colors for each wedges as white, red, black, magenta,
+yellow, blue, green, cyan, yellow, magenta and blue respectively.
+
+.. **Clue** - *try pie? in your ipython interpreter* 
+
+Pause here and solve the question before moving on.
+
+.. pie(t,labels=s,colors=('w','r','k','m','y','b','g','c','y','m','b'))
+
+{{{ switch to the slide which says about bar chart }}}
+
+Now let us move on to the bar charts. A bar chart or bar graph is a chart
+with rectangular bars with lengths proportional to the values that
+they represent.
+
+{{{ switch to the slide showing the problem statement of fifth
+exercise question }}}
+
+Plot a bar chart representing the profit percentage of company A, with
+the same data from file ``company-a-data.txt``. 
+
+So let us reuse the data we have loaded from the file previously.
+
+{{{ switch to the next slide, ``bar()`` function }}}
+
+We can plot the bar chart using the function ``bar()``.
+::
+
+   bar(year,profit)
+
+Note that the function ``bar()`` needs at least two arguments one the
+values in x-coordinate and the other values in y-coordinate which is
+used to determine the height of the bars.
+
+{{{ switch to the next slide which has the problem statement of
+problem to be tried out }}}
+
+Now here is a question for you to try, plot a bar chart which is not
+filled and which is hatched with 45\ :sup:`o` slanting lines as shown
+in the image in the slide. The data for the chart may be obtained from
+the file ``company-a-data.txt``.
+
+.. **Clue** - *try bar? in your ipython interpreter* 
+
+.. bar(year,profit,fill=False,hatch='/')
+
+{{{ switch to the slide which says about log-log graph }}}
+
+Now let us move on to the log-log plot. A log-log graph or a log-log plot is
+a two-dimensional graph of numerical data that uses logarithmic scales
+on both the horizontal and vertical axes. Because of the nonlinear
+scaling of the axes, a function of the form y = ax\ :sup:`b` will
+appear as a straight line on a log-log graph
+
+{{{ switch to the slide showing the problem statement of fourth
+exercise question }}}
+
+
+Plot a `log-log` chart of y=5*x\ :sup:`3` for x from 1-20.
+
+Before we actually plot let us calculate the points needed for
+that. 
+::
+
+    x = linspace(1,20,100)
+    y = 5*x**3
+
+{{{ switch to next slide, ``loglog()`` function }}}
+
+Now we can plot the log-log chart using ``loglog()`` function,
+::
+
+    loglog(x,y)
+
+To understand the difference between a normal ``plot`` and a ``log-log
+plot`` let us create another plot using the function ``plot``.
+::
+
+    figure(2)
+    plot(x,y)
+
+{{{ show both the plots side by side }}}
+
+So that was ``log-log() plot``.
+
+{{{ switch to the next slide which says: "How to get help on
+matplotlib online"}}}
+
+Now we will see few more plots and also see how to access help of
+matplotlib over the internet.
+
+Help about matplotlib can be obtained from
+matplotlib.sourceforge.net/contents.html
+
+
+More plots can be seen at
+matplotlib.sourceforge.net/users/screenshots.html and also at
+matplotlib.sourceforge.net/gallery.html
+
+{{{ switch to summary slide }}}
+
+Now we have come to the end of this tutorial. We have covered scatter
+plot, pie chart, bar chart, log-log plot and also saw few other plots
+and covered how to access the matplotlib online help.
+
+{{{ switch to the thank you slide }}}
+
+Thank you!

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/other_types_of_plots/slides.org	Thu Dec 02 14:43:42 2010 +0530
@@ -0,0 +1,137 @@
+#+LaTeX_CLASS: beamer
+#+LaTeX_CLASS_OPTIONS: [presentation]
+#+BEAMER_FRAME_LEVEL: 1
+
+#+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent}
+#+COLUMNS: %45ITEM %10BEAMER_env(Env) %10BEAMER_envargs(Env Args) %4BEAMER_col(Col) %8BEAMER_extra(Extra)
+#+PROPERTY: BEAMER_col_ALL 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 :ETC
+
+#+LaTeX_CLASS: beamer
+#+LaTeX_CLASS_OPTIONS: [presentation]
+
+#+LaTeX_HEADER: \usepackage[english]{babel} \usepackage{ae,aecompl}
+#+LaTeX_HEADER: \usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet}
+
+#+LaTeX_HEADER: \usepackage{listings}
+
+#+LaTeX_HEADER:\lstset{language=Python, basicstyle=\ttfamily\bfseries,
+#+LaTeX_HEADER:  commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen},
+#+LaTeX_HEADER:  showstringspaces=false, keywordstyle=\color{blue}\bfseries}
+
+#+TITLE: Other type of plots
+#+AUTHOR:    FOSSEE
+#+EMAIL:     
+#+DATE:    
+
+#+DESCRIPTION: 
+#+KEYWORDS: 
+#+LANGUAGE:  en
+#+OPTIONS:   H:3 num:nil toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t
+#+OPTIONS:   TeX:t LaTeX:nil skip:nil d:nil todo:nil pri:nil tags:not-in-toc
+
+* Outline
+  - Scatter plot
+  - Pie chart
+  - Bar chart
+  - Log-log Plot
+  - ~matplotlib~ help
+* Exercise 1: Scatter plot
+  Plot a scatter plot showing the percentage profit of Company A from the year 2000
+  to 2010. The data for the same is available in the file ~company-a-data.txt~.
+* ~scatter()~ function
+  - /Syntax :/ scatter(x,y)
+    - x, a sequence of data
+    - y, a sequence of data, the same length of x
+  : In []: scatter(year, profit)
+* Exercise 2: Scatter plot
+  Plot a scatter plot of the same data in ~company-a-data.txt~ with red diamond markers.
+  : 
+  *Clue* - /try scatter? in your ipython interpreter/
+* Pie chart
+  Pie chart - a circle graph divided into sectors, illustrating proportion. 
+* Exercise 3: Pie chart
+  Plot a pie chart representing the profit percentage of company A, with the data 
+  from the file ~company-a-data.txt~.
+  : 
+  /(we can reuse the data in lists year and profit)/
+* ~pie()~ function
+  - /Syntax :/ pie(values, labels=labels)
+    - values, the data to be plotted
+    - labels, the label for each wedge in the pie chart
+  : In []: pie(profit, labels=year)
+* Exercise 4: Pie chart
+  Plot a pie chart with the same data with colors for each wedges as white, red, 
+  magenta, yellow, blue, green, cyan, yellow, magenta, and blue.
+  : 
+  *Clue* - /try pie? in your ipython interpreter/
+* Bar chart
+  Bar chart - a chart with rectangular bars with lengths proportional 
+  to the values that they represent.
+* Exercise 5: Bar chart
+  Plot a bar chart representing the profit percentage of company A, with the data 
+  from the file ~company-a-data.txt~.
+  : 
+  /(we can reuse the data in lists year and profit)/
+* ~bar()~ function
+  - /Syntax :/ bar(x, y)
+    - x, a sequence of data
+    - y, a sequence of data, the same length of x
+  : In []: bar(year, profit)
+* Exercise 6: Bar chart
+  Plot a bar chart which is not filled and which is hatched with 
+  #+begin_latex
+    $45^o$
+  #+end_latex
+  slanting lines as shown in the image. The data for the chart may be
+  obtained from the file ~company-a-data.txt~.
+  #+begin_latex
+   \begin{center}
+      \includegraphics[scale=0.3]{bar-chart-hatch}    
+    \end{center}
+  #+end_latex
+  *Clue* - /try bar? in your ipython interpreter/
+* Log-log graph
+  - Log-log graph
+    - 2-dimensional graph.
+    - uses logarithmic scales on both axes.
+    - graph appears as straight line due to non-linear scaling.
+* Exercise 7:
+  Plot a log-log chart of 
+  #+begin_latex
+    $y = 5x^3$
+  #+end_latex
+  for x from 1-20.
+* ~loglog()~ function
+  - /Syntax :/ loglog(x, y)
+    - x, a sequence of data
+    - y, a sequence of data, the same length of x
+  : In []: loglog(x, y)
+* Getting help on ~matplotlib~
+  - Help 
+    - [[matplotlib.sourceforge.net/contents.html]]
+  - More plots
+    - [[matplotlib.sourceforge.net/users/screenshots.html]]
+    - [[matplotlib.sourceforge.net/gallery.html]]
+
+* Summary
+  - Scatter plot (~scatter()~)
+  - Pie chart (~pie()~)
+  - Bar chart (~bar()~)
+  - Log-log plot (~loglog()~)
+  - ~matplotlib~ online help
+* Thank you!
+#+begin_latex
+  \begin{block}{}
+  \begin{center}
+  This spoken tutorial has been produced by the
+  \textcolor{blue}{FOSSEE} team, which is funded by the 
+  \end{center}
+  \begin{center}
+    \textcolor{blue}{National Mission on Education through \\
+      Information \& Communication Technology \\ 
+      MHRD, Govt. of India}.
+  \end{center}  
+  \end{block}
+#+end_latex
+
+

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/other_types_of_plots/slides.tex	Thu Dec 02 14:43:42 2010 +0530
@@ -0,0 +1,280 @@
+% Created 2010-10-12 Tue 16:22
+\documentclass[presentation]{beamer}
+\usepackage[latin1]{inputenc}
+\usepackage[T1]{fontenc}
+\usepackage{fixltx2e}
+\usepackage{graphicx}
+\usepackage{longtable}
+\usepackage{float}
+\usepackage{wrapfig}
+\usepackage{soul}
+\usepackage{t1enc}
+\usepackage{textcomp}
+\usepackage{marvosym}
+\usepackage{wasysym}
+\usepackage{latexsym}
+\usepackage{amssymb}
+\usepackage{hyperref}
+\tolerance=1000
+\usepackage[english]{babel} \usepackage{ae,aecompl}
+\usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet}
+\usepackage{listings}
+\lstset{language=Python, basicstyle=\ttfamily\bfseries,
+commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen},
+showstringspaces=false, keywordstyle=\color{blue}\bfseries}
+\providecommand{\alert}[1]{\textbf{#1}}
+
+\title{Other type of plots}
+\author{FOSSEE}
+\date{}
+
+\usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent}
+\begin{document}
+
+\maketitle
+
+
+
+
+
+
+
+
+
+\begin{frame}
+\frametitle{Outline}
+\label{sec-1}
+
+\begin{itemize}
+\item Scatter plot
+\item Pie chart
+\item Bar chart
+\item Log-log Plot
+\item \texttt{matplotlib} help
+\end{itemize}
+\end{frame}
+\begin{frame}
+\frametitle{Exercise 1: Scatter plot}
+\label{sec-2}
+
+  Plot a scatter plot showing the percentage profit of Company A from the year 2000
+  to 2010. The data for the same is available in the file \texttt{company-a-data.txt}.
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{\texttt{scatter()} function}
+\label{sec-3}
+
+\begin{itemize}
+\item \emph{Syntax :} scatter(x,y)
+
+\begin{itemize}
+\item x, a sequence of data
+\item y, a sequence of data, the same length of x
+\end{itemize}
+
+\end{itemize}
+
+\begin{verbatim}
+   In []: scatter(year, profit)
+\end{verbatim}
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{Exercise 2: Scatter plot}
+\label{sec-4}
+
+  Plot a scatter plot of the same data in \texttt{company-a-data.txt} with red diamond markers.
+\begin{verbatim}
+   
+\end{verbatim}
+
+  \textbf{Clue} - \emph{try scatter? in your ipython interpreter}
+\end{frame}
+\begin{frame}
+\frametitle{Pie chart}
+\label{sec-5}
+
+  Pie chart - a circle graph divided into sectors, illustrating proportion. 
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{Exercise 3: Pie chart}
+\label{sec-6}
+
+  Plot a pie chart representing the profit percentage of company A, with the data 
+  from the file \texttt{company-a-data.txt}.
+\begin{verbatim}
+   
+\end{verbatim}
+
+  \emph{(we can reuse the data in lists year and profit)}
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{\texttt{pie()} function}
+\label{sec-7}
+
+\begin{itemize}
+\item \emph{Syntax :} pie(values, labels=labels)
+
+\begin{itemize}
+\item values, the data to be plotted
+\item labels, the label for each wedge in the pie chart
+\end{itemize}
+
+\end{itemize}
+
+\begin{verbatim}
+   In []: pie(profit, labels=year)
+\end{verbatim}
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{Exercise 4: Pie chart}
+\label{sec-8}
+
+  Plot a pie chart with the same data with colors for each wedges as white, red, 
+  magenta, yellow, blue, green, cyan, yellow, magenta, and blue.
+\begin{verbatim}
+   
+\end{verbatim}
+
+  \textbf{Clue} - \emph{try pie? in your ipython interpreter}
+\end{frame}
+\begin{frame}
+\frametitle{Bar chart}
+\label{sec-9}
+
+  Bar chart - a chart with rectangular bars with lengths proportional 
+  to the values that they represent.
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{Exercise 5: Bar chart}
+\label{sec-10}
+
+  Plot a bar chart representing the profit percentage of company A, with the data 
+  from the file \texttt{company-a-data.txt}.
+\begin{verbatim}
+   
+\end{verbatim}
+
+  \emph{(we can reuse the data in lists year and profit)}
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{\texttt{bar()} function}
+\label{sec-11}
+
+\begin{itemize}
+\item \emph{Syntax :} bar(x, y)
+
+\begin{itemize}
+\item x, a sequence of data
+\item y, a sequence of data, the same length of x
+\end{itemize}
+
+\end{itemize}
+
+\begin{verbatim}
+   In []: bar(year, profit)
+\end{verbatim}
+\end{frame}
+\begin{frame}
+\frametitle{Exercise 6: Bar chart}
+\label{sec-12}
+
+  Plot a bar chart which is not filled and which is hatched with 
+    $45^o$
+  slanting lines as shown in the image. The data for the chart may be
+  obtained from the file \texttt{company-a-data.txt}.
+   \begin{center}
+      \includegraphics[scale=0.3]{bar-chart-hatch}    
+    \end{center}
+  \textbf{Clue} - \emph{try bar? in your ipython interpreter}
+\end{frame}
+\begin{frame}
+\frametitle{Log-log graph}
+\label{sec-13}
+
+\begin{itemize}
+\item Log-log graph
+
+\begin{itemize}
+\item 2-dimensional graph.
+\item uses logarithmic scales on both axes.
+\item graph appears as straight line due to non-linear scaling.
+\end{itemize}
+
+\end{itemize}
+\end{frame}
+\begin{frame}
+\frametitle{Exercise 7:}
+\label{sec-14}
+
+  Plot a log-log chart of 
+    $y = 5x^3$
+  for x from 1-20.
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{\texttt{loglog()} function}
+\label{sec-15}
+
+\begin{itemize}
+\item \emph{Syntax :} loglog(x, y)
+
+\begin{itemize}
+\item x, a sequence of data
+\item y, a sequence of data, the same length of x
+\end{itemize}
+
+\end{itemize}
+
+\begin{verbatim}
+   In []: loglog(x, y)
+\end{verbatim}
+\end{frame}
+\begin{frame}
+\frametitle{Getting help on \texttt{matplotlib}}
+\label{sec-16}
+
+\begin{itemize}
+\item Help
+
+\begin{itemize}
+\item \hyperref[sec-16]{matplotlib.sourceforge.net/contents.html}
+\end{itemize}
+
+\item More plots
+
+\begin{itemize}
+\item \hyperref[sec-16]{matplotlib.sourceforge.net/users/screenshots.html}
+\item \hyperref[sec-16]{matplotlib.sourceforge.net/gallery.html}
+\end{itemize}
+
+\end{itemize}
+\end{frame}
+\begin{frame}
+\frametitle{Summary}
+\label{sec-17}
+
+\begin{itemize}
+\item Scatter plot (\texttt{scatter()})
+\item Pie chart (\texttt{pie()})
+\item Bar chart (\texttt{bar()})
+\item Log-log plot (\texttt{loglog()})
+\item \texttt{matplotlib} online help
+\end{itemize}
+\end{frame}
+\begin{frame}
+\frametitle{Thank you!}
+\label{sec-18}
+
+  \begin{block}{}
+  \begin{center}
+  This spoken tutorial has been produced by the
+  \textcolor{blue}{FOSSEE} team, which is funded by the 
+  \end{center}
+  \begin{center}
+    \textcolor{blue}{National Mission on Education through \\
+      Information \& Communication Technology \\ 
+      MHRD, Govt. of India}.
+  \end{center}  
+  \end{block}
+\end{frame}
+
+\end{document}

--- a/progress.org	Wed Dec 01 16:51:35 2010 +0530
+++ b/progress.org	Thu Dec 02 14:43:42 2010 +0530
@@ -1,56 +1,56 @@
-| S.No    | Name                                   | Units | Author   | Review          | Checklist |
-|---------+----------------------------------------+-------+----------+-----------------+-----------|
-| 1.2 LO: | getting started with =ipython=         |     2 | Punch    | Anoop(Done)     |           |
-| 1.3 LO: | using the =plot= command interactively |     2 | Amit     | Pending         |           |
-| 1.4 LO: | embellishing a plot                    |     2 | Nishanth | Anoop (Done)    |           |
-| 1.5 LO: | saving plots                           |     2 | Anoop    | Punch (Done)    |           |
-| 1.6 LO: | multiple plots                         |     3 | Madhu    | Nishanth (Done) |           |
-| 1.7 LO: | additional features of IPython         |     2 | Nishanth | Amit (Done)     |           |
-| 1.8 LO: | module level assessment                |     3 | Madhu    |                 |           |
-|---------+----------------------------------------+-------+----------+-----------------+-----------|
-| 2.2 LO: | loading data from files                |     3 | Punch    | Nishanth (Done) |           |
-| 2.3 LO: | plotting the data                      |     3 | Amit     | Anoop (Done)    |           |
-| 2.4 LO: | other types of plots                   |     3 | Anoop    | Punch (Done)    |           |
-| 2.5 LO: | module level assessment                |     3 | Nishanth |                 |           |
-|---------+----------------------------------------+-------+----------+-----------------+-----------|
-| 3.1 LO: | getting started with lists             |     2 | Amit     | Anoop(Done)     |           |
-| 3.2 LO: | getting started with =for=             |     2 | Anoop    | Nishanth (Done) |           |
-| 3.3 LO: | getting started with strings           |     2 | Madhu    | Punch (Done)    |           |
-| 3.4 LO: | getting started with files             |     3 | Punch    | Anoop(Done)     |           |
-| 3.5 LO: | parsing data                           |     3 | Nishanth | Amit (Done)     |           |
-| 3.6 LO: | statistics                             |     2 | Amit     | Punch (Done)    |           |
-| 3.7 LO: | module level assessment                |     3 | Madhu    |                 |           |
-|---------+----------------------------------------+-------+----------+-----------------+-----------|
-| 4.1 LO: | getting started with arrays            |     2 | Anoop    | Punch (Done)    |           |
-| 4.2 LO: | accessing parts of arrays              |     4 | Punch    | Anoop (Done)    |           |
-| 4.3 LO: | Matrices                               |     3 | Anoop    | Punch (Done)    |           |
-| 4.4 LO: | Least square fit                       |     2 | Nishanth | Punch (Done)    |           |
-| 4.5 LO: | Assessment                             |     3 | Punch    |                 |           |
-|---------+----------------------------------------+-------+----------+-----------------+-----------|
-| 5.1 LO: | getting started with sage notebook     |     3 | Madhu    | Punch (Done)    |           |
-| 5.2 LO: | getting started with symbolics         |     3 | Amit     | Punch (Done)    |           |
-| 5.3 LO: | using Sage                             |     4 | Punch    | Anoop (Done)    |           |
-| 5.4 LO: | using sage to teach                    |     3 | Nishanth | Punch (Done)    |           |
-| 5.5 LO: | Assessment                             |     3 | Anoop    |                 |           |
-|---------+----------------------------------------+-------+----------+-----------------+-----------|
-| 6.1 LO: | basic datatypes & operators            |     4 | Amit     | Punch (Done)    |           |
-| 6.2 LO: | I/O                                    |     1 | Nishanth | Amit (Done)     |           |
-| 6.3 LO: | conditionals                           |     2 | Madhu    | Punch (Pending) |           |
-| 6.4 LO: | loops                                  |     2 | Punch    | Anoop (Done)    |           |
-| 6.5 LO: | Assessment                             |     3 | Anoop    |                 |           |
-|---------+----------------------------------------+-------+----------+-----------------+-----------|
-| 7.1 LO: | manipulating lists                     |     3 | Madhu    | Punch (Done)    |           |
-| 7.2 LO: | manipulating strings                   |     2 | Punch    | Amit (Done)     |           |
-| 7.3 LO: | getting started with tuples            |     2 | Nishanth | Punch (Done)    |           |
-| 7.4 LO: | dictionaries                           |     2 | Anoop    | Punch (Done)    |           |
-| 7.5 LO: | sets                                   |     2 | Nishanth | Punch (Done)    |           |
-| 7.6 LO: | Assessment                             |     3 | Amit     |                 |           |
-|---------+----------------------------------------+-------+----------+-----------------+-----------|
-| 8.1 LO: | getting started with functions         |     3 | Anoop    | Punch (Done)    |           |
-| 8.2 LO: | advanced features of functions         |     3 | Punch    | Anoop (Done)    |           |
-| 8.3 LO: | using python modules                   |     3 | Anoop    | Punch (Done)    |           |
-| 8.4 LO: | writing python scripts                 |     2 | Nishanth | Punch (Done)    |           |
-| 8.5 LO: | testing and debugging                  |     2 | Amit     |                 |           |
-| 8.6 LO: | Assessment                             |     3 | Madhu    |                 |           |
-|---------+----------------------------------------+-------+----------+-----------------+-----------|
+| S.No    | Name                               | Units | Author   | Review          | Checklist |
+|---------+------------------------------------+-------+----------+-----------------+-----------|
+| 1.2 LO: | getting started with =ipython=     |     2 | Punch    | Anoop(Done)     |           |
+| 1.3 LO: | using =plot= interactively         |     2 | Amit     | Pending         |           |
+| 1.4 LO: | embellishing a plot                |     2 | Nishanth | Anoop (Done)    |           |
+| 1.5 LO: | saving plots                       |     2 | Anoop    | Punch (Done)    |           |
+| 1.6 LO: | multiple plots                     |     3 | Madhu    | Nishanth (Done) |           |
+| 1.7 LO: | additional features of IPython     |     2 | Nishanth | Amit (Done)     |           |
+| 1.8 LO: | module level assessment            |     3 | Madhu    |                 |           |
+|---------+------------------------------------+-------+----------+-----------------+-----------|
+| 2.2 LO: | loading data from files            |     3 | Punch    | Nishanth (Done) |           |
+| 2.3 LO: | plotting data                      |     3 | Amit     | Anoop (Done)    |           |
+| 2.4 LO: | other types of plots               |     3 | Anoop    | Punch (Done)    |           |
+| 2.5 LO: | module level assessment            |     3 | Nishanth |                 |           |
+|---------+------------------------------------+-------+----------+-----------------+-----------|
+| 3.1 LO: | getting started with lists         |     2 | Amit     | Anoop(Done)     |           |
+| 3.2 LO: | getting started with =for=         |     2 | Anoop    | Nishanth (Done) |           |
+| 3.3 LO: | getting started with strings       |     2 | Madhu    | Punch (Done)    |           |
+| 3.4 LO: | getting started with files         |     3 | Punch    | Anoop(Done)     |           |
+| 3.5 LO: | parsing data                       |     3 | Nishanth | Amit (Done)     |           |
+| 3.6 LO: | statistics                         |     2 | Amit     | Punch (Done)    |           |
+| 3.7 LO: | module level assessment            |     3 | Madhu    |                 |           |
+|---------+------------------------------------+-------+----------+-----------------+-----------|
+| 4.1 LO: | getting started with arrays        |     2 | Anoop    | Punch (Done)    |           |
+| 4.2 LO: | accessing parts of arrays          |     4 | Punch    | Anoop (Done)    |           |
+| 4.3 LO: | Matrices                           |     3 | Anoop    | Punch (Done)    |           |
+| 4.4 LO: | Least square fit                   |     2 | Nishanth | Punch (Done)    |           |
+| 4.5 LO: | Assessment                         |     3 | Punch    |                 |           |
+|---------+------------------------------------+-------+----------+-----------------+-----------|
+| 5.1 LO: | getting started with sage notebook |     3 | Madhu    | Punch (Done)    |           |
+| 5.2 LO: | getting started with symbolics     |     3 | Amit     | Punch (Done)    |           |
+| 5.3 LO: | using Sage                         |     4 | Punch    | Anoop (Done)    |           |
+| 5.4 LO: | using sage to teach                |     3 | Nishanth | Punch (Done)    |           |
+| 5.5 LO: | Assessment                         |     3 | Anoop    |                 |           |
+|---------+------------------------------------+-------+----------+-----------------+-----------|
+| 6.1 LO: | basic datatypes and operators      |     4 | Amit     | Punch (Done)    |           |
+| 6.2 LO: | input output                       |     1 | Nishanth | Amit (Done)     |           |
+| 6.3 LO: | conditionals                       |     2 | Madhu    | Punch (Pending) |           |
+| 6.4 LO: | loops                              |     2 | Punch    | Anoop (Done)    |           |
+| 6.5 LO: | Assessment                         |     3 | Anoop    |                 |           |
+|---------+------------------------------------+-------+----------+-----------------+-----------|
+| 7.1 LO: | manipulating lists                 |     3 | Madhu    | Punch (Done)    |           |
+| 7.2 LO: | manipulating strings               |     2 | Punch    | Amit (Done)     |           |
+| 7.3 LO: | tuples                             |     2 | Nishanth | Punch (Done)    |           |
+| 7.4 LO: | dictionaries                       |     2 | Anoop    | Punch (Done)    |           |
+| 7.5 LO: | sets                               |     2 | Nishanth | Punch (Done)    |           |
+| 7.6 LO: | Assessment                         |     3 | Amit     |                 |           |
+|---------+------------------------------------+-------+----------+-----------------+-----------|
+| 8.1 LO: | getting started with functions     |     3 | Anoop    | Punch (Done)    |           |
+| 8.2 LO: | advanced features of functions     |     3 | Punch    | Anoop (Done)    |           |
+| 8.3 LO: | using python modules               |     3 | Anoop    | Punch (Done)    |           |
+| 8.4 LO: | writing python scripts             |     2 | Nishanth | Punch (Done)    |           |
+| 8.5 LO: | testing and debugging              |     2 | Amit     |                 |           |
+| 8.6 LO: | Assessment                         |     3 | Madhu    |                 |           |
+|---------+------------------------------------+-------+----------+-----------------+-----------|
 

--- a/sets/quickref.tex	Wed Dec 01 16:51:35 2010 +0530
+++ b/sets/quickref.tex	Thu Dec 02 14:43:42 2010 +0530
@@ -9,7 +9,7 @@
 
 Other operations available:\\
 
-\begin{lstlising}
+\begin{lstlisting}
 \item "\&" -- Intersection
 \item "-" -- Difference
 \item "\^" -- Symmetric Difference