--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/basic-data-type/questions.rst Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,83 @@
+Objective Questions
+-------------------
+
+.. A mininum of 8 questions here (along with answers)
+
+1. How large can an integer in Python be?
+
+ Any Size.
+
+
+2. How do you define a complex number in Python?
+
+ Using the following notation.
+
+ [Real part] + [Imaginary part] j
+ example ::
+
+ c= 3.2 + 4.6j
+
+
+
+3. Look at the following piece of code ::
+
+ In []: f or t
+ Out[]:True
+
+ What can you comment about the data type of f and t ?
+
+4. One major diffence between tuples and lists?
+
+ Tuples are immutable while lists are not.
+
+
+5. Look at the following sequence ::
+
+ In []:t=true
+ NameError: name 'true' is not defined
+
+ What might be the reason for error here?
+
+ In this scenario , it seems the programmer wanted to create a variable t with the boolean value True with a capital T. Since no variable by the name true(small t) is known to the interpreter it gives a NameError.
+
+
+6. Put the following string in a variable quotation.
+ "God doesn't play dice" -Albert Einstein
+
+ quotation='''"God doesn't play dice" -Albert Einstein'''
+
+7. Given a tuple ::
+
+ tup=(7,4,2,1,3,6,5,8)
+ tup[-2]
+
+ 5
+
+8. What is the syntax for checking containership in Python?::
+
+ element in sequence
+ 'l' in "Hello"
+ True
+
+9. Split this string on whitespaces? ::
+
+ string="Split this string on whitespaces?"
+
+ string.split()
+
+10. What is the answer of 5/2 and 5.0/2 . If yes , why.
+
+ Yes, There is a difference.
+ Because one is integer division and other is float division.
+
+Larger Questions
+----------------
+
+.. A minimum of 2 questions here (along with answers)
+
+1. Given two lists for example,
+ list1=[1,2,3,4] and list2=[1,2,3,4,5,6,7] write a program to remove one list from the other.
+
+
+#. Write a program to check if a string is palindrome?
+
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/basic-data-type/quickref.tex Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,49 @@
+\documentclass{article}
+\begin{Document}
+\begin{center}
+\textbf{Basic DataType Quick Reference}\\
+\end{center}
+Declaring an Integer:\\
+{\ex \lstinline| b=9999999999999999999 |}
+
+Declaring a float:\\
+{\ex \lstinline| p=3.141592 |}
+
+Declaring a Complex number:\\
+{\ex \lstinline| c = 3.2+4.6j |}
+
+Modulo Operator:\\
+{\ex \lstinline| 87 % 6 |}
+
+Exponent Operator:\\
+{\ex \lstinline| 7**8 |}
+
+Declaring a list:\\
+{\ex \lstinline| var_list = [1, 1.2, [1,2]] |}
+
+Declaring a string:\\
+{\ex \lstinline| k='Single quote' |}
+{\ex \lstinline| l="Double quote contain's single quote" |}
+{\ex \lstinline| m='''"Contain's both"''' |}
+
+Declaring a tuple:\\
+{\ex \lstinline| var_tup = (1,2,3,4) |}
+
+
+Accessing Lists, string and tuples:\\
+{\ex \lstinline| seq[-1] |}
+
+Interconversion of number datatype:\\
+{\ex \lstinline| float(2.3+4.2j) |}
+
+
+Interconversion of sequences:\\
+{\ex \lstinline| tup=tuple([1,2,3,4,5]) |}
+
+Spliting string into lists:\\
+{\ex \lstinline| ''split this sting''.split() |}
+
+Join lists to create strings:\\
+{\ex \lstinline| ','.join['List','joined','on','commas'] |}
+
+\end{Document}
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/basic-data-type/script.rst Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,467 @@
+.. Objectives
+.. ----------
+
+.. Learn about Python Data Structures and Operators.(Remembering)
+.. Use them to do basic operations.(Applying)
+
+.. Prerequisites
+.. -------------
+
+
+
+.. Author : Amit Sethi
+ Internal Reviewer :
+ External Reviewer :
+ Checklist OK? : <put date stamp here, if OK> [2010-10-05]
+Hello friends and welcome to the tutorial on Basic Data types and operators in Python.
+{{{ Show the slide containing title }}}
+
+{{{ Show the slide containing the outline slide }}}
+
+In this tutorial, we shall look at::
+
+ * Datatypes in Python
+ * Operators in Python
+
+with a little hands-on on how they can be applied to the different data types.
+
+
+
+First we will explore python data structures in the domain of numbers.
+There are three built-in data types in python to represent numbers.
+
+{{{ A slide to make a memory note of this }}}
+
+These are:
+
+ * Integers
+ * float and
+ * Complex
+
+Lets first talk about integers. ::
+
+ a = 13
+ a
+
+
+Thats it, there we have our first integer variable a.
+
+
+
+If we now see ::
+
+ type(a)
+ <type 'int'>
+
+This means that a is a type of int. Being an int data structure
+in python means that there are various functions that this variable
+has to manipulate it different ways. You can explore these by doing,
+
+ a.<Tab>
+
+
+
+Lets see the limits of this int.
+
+ b = 99999999999999999999
+ b
+
+As you can see even when we put a value of 9 repeated 20 times
+python did not complain. However when you asked python to print
+the number again it put a capital L at the end. Now if you check
+the type of this variable b, ::
+
+ type(b)
+ <type 'long'>
+
+
+The reason for this is that python recognizes large integer numbers
+by the data type long. However long type and integer type share there
+functions and properties.
+
+Lets now try out the second type in list called float.
+
+Decimal numbers in python are recognized by the term float ::
+
+ p = 3.141592
+ p
+
+If you notice the value of output of p isn't exactly equal to p. This
+is because computer saves floating point values in a specific
+format. There is always an aproximationation. This is why we should
+never rely on equality of floating point numbers in a program.
+
+The last data type in the list is complex number ::
+
+ c = 3.2+4.6j
+
+as simple as that so essentialy its just a combination of two floats the
+imaginary part being defined by j notation instead of i. Complex numbers have a lot of functions specific to them.
+Lets check these ::
+
+ c.<Tab>
+
+Lets try some of them ::
+
+ c.real
+ c.imag
+
+c.real gives the real part of the number and c.imag the imaginary.
+
+We can get the absolute value using the function ::
+
+ abs(c)
+
+
+
+{{ Slide for memory aid }}
+
+Python also has Boolean as a built-in type.
+
+Try it out just type ::
+
+ t = True
+
+note that T in true is capitalized.
+
+You can apply different Boolean operations on t now for example ::
+
+ f = not t
+ f
+ f or t
+ f and t
+
+
+
+The results are explanotary in themselves.
+
+The usage of boolean brings us to an interesting question of precendence.
+What if you want to apply one operator before another.
+
+Well you can use parenthesis for precedence.
+
+Lets write some piece of code to check this out.
+
+ In[]: a=False
+ In[]: b=True
+ In[]: c=True
+
+To check how precedence changes with parenthesis. We will try two
+expressions and their evaluation.
+
+one ::
+
+ (a and b) or c
+
+This expression gives the value True
+
+where as the expression ::
+
+ a and (b or c)
+
+gives the value False.
+
+
+Lets now look at some operators available in Python to manipulate these data types.
+
+
+
+Python uses % for modulo operation ::
+
+ 87 % 6
+and two stars for a exponent. ::
+
+ 7**8
+
+
+In case one wishes to use the current value of variable in which the result is stored in the expression one can do that by putting the operator before `equal to`. ::
+
+ a=73
+ a*=34
+
+is same as ::
+
+ a=a*34
+
+and ::
+
+ a/=23
+
+is same as ::
+
+ a=a/23
+
+
+Lets now discuss sequence data stypes in python. Sequence
+datatypes are those in which elements are kept in a sequential
+order. All the elements accessed using index.
+
+
+{{{ slide to for memory aid }}}
+
+The sequence datatypes in python are ::
+
+ * list
+ * string
+ * tuple
+
+The list type is a container that holds a number of other
+objects, in the given order.
+
+We create our first list by typing ::
+
+ num_list = [1, 2, 3, 4]
+ num_list
+
+
+Items enclosed in square brackets separated by comma
+constitutes a list.
+
+Lists can store data of any type in them.
+
+We can have a list something like ::
+
+ var_list = [1, 1.2, [1,2]]
+ var_list
+
+
+
+Now we will have a look at strings
+
+type ::
+
+ In[]: greeting_string="hello"
+
+
+greeting_string is now a string variable with the value "hello"
+
+{{{ Memory Aid Slide }}}
+
+Python strings can actually be defined in three different ways ::
+
+ In[]: k='Single quote'
+ In[]: l="Double quote contain's single quote"
+ In[]: m='''"Contain's both"'''
+
+Thus, single quotes are used as delimiters usually.
+When a string contains a single quote, double quotes are used as delimiters.
+When a string quote contains both single and double quotes, triple quotes are
+used as delimiters.
+
+The last in the list of sequence data types is tuple.
+
+To create a tuple we use normal brackets '('
+unlike '[' for lists.::
+
+ In[]: num_tuple = (1, 2, 3, 4, 5, 6, 7, 8)
+
+Because of their sequential property there are certain functions and
+operations we can apply to all of them.
+
+
+
+The first one is accessing.
+
+They can be accessed using index numbers ::
+
+ In[]: num_list[2]
+ In[]: num_list[-1]
+ In[]: greeting_string[1]
+ In[]: greeting_string[3]
+ In[]: greeting_string[-2]
+ In[]: num_tuple[2]
+ In[]: num_tuple[-3]
+
+
+Indexing starts from 0 from left to right and from -1 when accessing
+lists in reverse. Thus num_list[2] refers to the third element 3.
+and greetings [-2] is the second element from the end , that is 'l'.
+
+
+
+Addition gives a new sequence containing both sequences ::
+
+ In[]: num_list+var_list
+ In[]: a_string="another string"
+ In[]: greeting_string+a_string
+ In[]: t2=(3,4,6,7)
+ In[]: num_tuple+t2
+
+len function gives the length ::
+
+ In[]: len(num_list)
+ In[]: len(greeting_string)
+ In[]: len(num_tuple)
+
+Prints the length the variable.
+
+We can check the containership of an element using the 'in' keyword ::
+
+ In[]: 3 in num_list
+ In[]: 'H' in greeting_string
+ In[]: 2 in num_tuple
+
+We see that it gives True and False accordingly.
+
+Find maximum using max function and minimum using min::
+
+ In[]: max(num_tuple)
+ In[]: min(greeting_string)
+
+Get a sorted list and reversed list using sorted and reversed function ::
+
+ In[]: sorted(num_list)
+ In[]: reversed(greeting_string)
+
+As a consequence of the order one we access a group of elements together.
+This is called slicing and striding.
+
+First Slicing
+
+Given a list ::
+
+ In[]:j=[1,2,3,4,5,6]
+
+Lets say we want elements starting from 2 and ending in 5.
+
+For this we can do ::
+
+ In[]: j[1:4]
+
+The syntax for slicing is sequence variable name square bracket
+first element index, colon, second element index.The last element however is notincluded in the resultant list::
+
+
+ In[]: j[:4]
+
+If first element is left blank default is from beginning and if last
+element is left blank it means till the end.
+
+ In[]: j[1:]
+
+ In[]: j[:]
+
+This effectively is the whole list.
+
+Striding is similar to slicing except that the step size here is not one.
+
+Lets see by example ::
+
+ new_num_list=[1,2,3,4,5,6,7,8,9,10]
+ new_num_list[1:8:2]
+ [2, 4, 6, 8]
+
+The colon two added in the end signifies all the alternate elements. This is why we call this concept
+striding because we move through the list with a particular stride or step. The step in this example
+being 2.
+
+We have talked about many similar features of lists, strings and tuples. But there are many important
+features in lists that differ from strings and tuples. Lets see this by example.::
+
+ In[]: new_num_list[1]=9
+ In[]: greeting_string[1]='k'
+
+{{{ slide to show the error }}}
+
+
+
+As you can see while the first command executes with out a problem there is an error on the second one.
+
+Now lets try ::
+
+ In[]: new_tuple[1]=5
+
+Its the same error. This is because strings and tuples share the property of being immutable.
+We cannot change the value at a particular index just by assigning a new value at that position.
+
+
+We have looked at different types but we need to convert one data type into another. Well lets one
+by one go through methods by which we can convert one data type to other:
+
+We can convert all the number data types to one another ::
+
+ i=34
+ d=float(i)
+ d
+
+Python has built in functions int, float and complex to convert one number type
+data structure to another.
+
+ dec=2.34
+ dec_con=int(dec)
+ dec_con
+
+
+As you can see the decimal part of the number is simply stripped to get the integer.::
+
+ com=2.3+4.2j
+ float(com)
+ com
+
+In case of complex number to floating point only the real value of complex number is taken.
+
+Similarly we can convert list to tuple and tuple to list ::
+
+ lst=[3,4,5,6]
+ tup=tuple(lst)
+ tupl=(3,23,4,56)
+ lst=list(tuple)
+
+However string to list and list to string is an interesting problem.
+Lets say we have a string ::
+
+ In: somestring="Is there a way to split on these spaces."
+ In: somestring.split()
+
+
+This produces a list with the string split at whitespace.
+similarly we can split on some other character.
+
+ In: otherstring="Tim,Amy,Stewy,Boss"
+
+How do we split on comma , simply pass it as argument ::
+
+ In: otherstring.split(',')
+
+join function does the opposite. Joins a list to make a string.::
+
+ In[]:','.join['List','joined','on','commas']
+
+Thus we get a list joined on commas. Similarly we can do spaces.::
+
+ In[]:' '.join['Now','on','spaces']
+
+Note that the list has to be a list of strings to apply join operation.
+
+With this we come to the end of this tutorial .
+
+In this tutorial we have discussed
+
+1. Number Datatypes , integer,float and complex
+2. Boolean and datatype and operators
+3. Sequence data types ,List,String and Tuple
+4. Accesing sequence
+5. Slicing sequences
+6. Finding length , sorting and reversing operations on sequences.
+7. Immutability.
+
+
+
+
+.. #[Nishanth]: string to list is fine. But list to string can be left for
+ string manipulations. Just say it requires some string
+ manipulations and leave it there.
+
+.. #[Nishanth]: Where is the summary
+ There are no exercises in the script
+
+{{{ Show the "sponsored by FOSSEE" slide }}}
+
+This tutorial was created as a part of FOSSEE project, NME ICT, MHRD India
+
+Hope you have enjoyed and found it useful.
+
+Thank You.
+
+
+
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/basic-data-type/slides.org Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,72 @@
+#+LaTeX_CLASS: beamer
+#+LaTeX_CLASS_OPTIONS: [presentation]
+#+BEAMER_FRAME_LEVEL: 1
+
+#+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\useoutertheme{infolines}\usecolortheme{default}\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
+#+OPTIONS: H:5 num:t toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t
+
+#+TITLE: Plotting Data
+#+AUTHOR: FOSSEE
+#+DATE: 2010-09-14 Tue
+#+EMAIL: info@fossee.in
+
+# \author[FOSSEE] {FOSSEE}
+
+# \institute[IIT Bombay] {Department of Aerospace Engineering\\IIT Bombay}
+# \date{}
+
+* Tutorial Plan
+** Datatypes in Python
+** Operators in Python
+
+* Numbers
+** Integers
+** Float
+** Complex
+
+* Boolean
+** True
+** False
+
+* Sequence Data types
+** Data in Sequence
+** Accessed using Index
+*** list
+*** String
+*** Tuple
+
+* All are Strings
+
+** k='Single quote'
+** l="Double quote contain's single quote"
+** m='''"Contain's both"'''
+
+* Summary
+** a=73
+** b=3.14
+** c=3+4j
+
+* Summary Contd.
+
+** t=True
+** f=False
+** t and f
+
+* Summary Contd.
+** l= [2,1,4,3]
+** s='hello'
+** tu=(1,2,3,4)
+
+* Summary Contd.
+** tu[-1]
+** s[1:-1]
+
+* Summary Contd.
+
+** Sorted(l)
+** reversed(s)
+
+
+
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/basic-data-type/slides.tex Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,158 @@
+% Created 2010-10-13 Wed 17:08
+\documentclass[presentation]{beamer}
+\usetheme{Warsaw}\useoutertheme{infolines}\usecolortheme{default}\setbeamercovered{transparent}
+\usepackage[latin1]{inputenc}
+\usepackage[T1]{fontenc}
+\usepackage{graphicx}
+\usepackage{longtable}
+\usepackage{float}
+\usepackage{wrapfig}
+\usepackage{soul}
+\usepackage{amssymb}
+\usepackage{hyperref}
+
+
+\title{Plotting Data }
+\author{FOSSEE}
+\date{2010-09-14 Tue}
+
+\begin{document}
+
+\maketitle
+
+
+
+
+
+
+\begin{frame}
+\frametitle{Tutorial Plan}
+\label{sec-1}
+\begin{itemize}
+
+\item Datatypes in Python\\
+\label{sec-1.1}%
+\item Operators in Python\\
+\label{sec-1.2}%
+\end{itemize} % ends low level
+\end{frame}
+\begin{frame}
+\frametitle{Numbers}
+\label{sec-2}
+\begin{itemize}
+
+\item Integers\\
+\label{sec-2.1}%
+\item Float\\
+\label{sec-2.2}%
+\item Complex\\
+\label{sec-2.3}%
+\end{itemize} % ends low level
+\end{frame}
+\begin{frame}
+\frametitle{Boolean}
+\label{sec-3}
+\begin{itemize}
+
+\item True\\
+\label{sec-3.1}%
+\item False\\
+\label{sec-3.2}%
+\end{itemize} % ends low level
+\end{frame}
+\begin{frame}
+\frametitle{Sequence Data types}
+\label{sec-4}
+\begin{itemize}
+
+\item Data in Sequence\\
+\label{sec-4.1}%
+\item Accessed using Index
+\label{sec-4.2}%
+\begin{itemize}
+
+\item list\\
+\label{sec-4.2.1}%
+\item String\\
+\label{sec-4.2.2}%
+\item Tuple\\
+\label{sec-4.2.3}%
+\end{itemize} % ends low level
+\end{itemize} % ends low level
+\end{frame}
+\begin{frame}
+\frametitle{All are Strings}
+\label{sec-5}
+\begin{itemize}
+
+\item k='Single quote'\\
+\label{sec-5.1}%
+\item l="Double quote contain's single quote"\\
+\label{sec-5.2}%
+\item m='''"Contain's both"'''\\
+\label{sec-5.3}%
+\end{itemize} % ends low level
+\end{frame}
+\begin{frame}
+\frametitle{Summary}
+\label{sec-6}
+\begin{itemize}
+
+\item a=73\\
+\label{sec-6.1}%
+\item b=3.14\\
+\label{sec-6.2}%
+\item c=3+4j\\
+\label{sec-6.3}%
+\end{itemize} % ends low level
+\end{frame}
+\begin{frame}
+\frametitle{Summary Contd.}
+\label{sec-7}
+\begin{itemize}
+
+\item t=True\\
+\label{sec-7.1}%
+\item f=False\\
+\label{sec-7.2}%
+\item t and f\\
+\label{sec-7.3}%
+\end{itemize} % ends low level
+\end{frame}
+\begin{frame}
+\frametitle{Summary Contd.}
+\label{sec-8}
+\begin{itemize}
+
+\item l= [2,1,4,3]\\
+\label{sec-8.1}%
+\item s='hello'\\
+\label{sec-8.2}%
+\item tu=(1,2,3,4)\\
+\label{sec-8.3}%
+\end{itemize} % ends low level
+\end{frame}
+\begin{frame}
+\frametitle{Summary Contd.}
+\label{sec-9}
+\begin{itemize}
+
+\item tu[-1]\\
+\label{sec-9.1}%
+\item s[1:-1]\\
+\label{sec-9.2}%
+\end{itemize} % ends low level
+\end{frame}
+\begin{frame}
+\frametitle{Summary Contd.}
+\label{sec-10}
+\begin{itemize}
+
+\item Sorted(l)\\
+\label{sec-10.1}%
+\item reversed(s)\\
+\label{sec-10.2}%
+\end{itemize} % ends low level
+\end{frame}
+
+\end{document}
--- a/basicdatatype.rst Wed Oct 13 14:00:33 2010 +0530
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,405 +0,0 @@
-Hello friends and welcome to the tutorial on Basic Data types and
-operators in Python.
-{{{ Show the slide containing title }}}
-
-{{{ Show the slide containing the outline slide }}}
-
-In this tutorial, we shall look at::
-
- * Various Datatypes in Python
- * Operators with a little hands-on on how they can be applied to
- the different data types.
-
-
-
-First we will explore python data structures in the domain of numbers.
-There are three built-in data types in python to represent numbers.
-
-{{{ A slide to make a memory note of this }}}
-
-These are:
-
- * Integers
- * Complex and
- * Boolean
-
-Lets first talk about integers. ::
-
- a = 13
- a
-
-
-Thats it, there we have our first integer variable a.
-
-
-
-If we now see ::
-
- type(a)
- <type 'int'>
-
-This means that a is a type of int. Being an int data structure
-in python means that there are various functions that this variable
-has to manipulate it different ways. You can explore these by doing,
-
- a.<Tab>
-
-
-
-Lets see the limits of this int.
-
- b = 99999999999999999999
- b
-
-As you can see even when we put a value of 9 repeated 20 times
-python did not complain. However when you asked python to print
-the number again it put a capital L at the end. Now if you check
-the type of this variable b, ::
-
- type(b)
- <type 'long'>
-
-
-The reason for this is that python recognizes large integer numbers
-by the data type long. However long type and integer type share there
-functions and properties.
-
-Lets now try out the second type in list called float.
-
-Decimal numbers in python are recognized by the term float ::
-
- p = 3.141592
- p
-
-If you notice the value of output of p isn't exactly equal to p. This
-is because computer saves floating point values in a specific
-format. There is always an aproximationation. This is why we should
-never rely on equality of floating point numbers in a program.
-
-The last data type in the list is complex number ::
-
- c = 3.2+4.6j
-
-as simple as that so essentialy its just a combination of two floats the
-imaginary part being define by j notation instead of i. Complex numbers have a lot of functions specific to them.
-Lets check these ::
-
- c.<Tab>
-
-Lets try some of them ::
-
- c.real
- c.imag
-
-c.real gives the real part of the number and c.imag the imaginary.
-
-We can get the absolute value using the function ::
-
- abs(c)
-
-Python also has Boolean as a built-in type.
-
-Try it out just type ::
-
- t = True
-
-note that T in true is capitalized.
-
-You can apply different Boolean operations on t now for example ::
-
- f = not t
- f
- f or t
- f and t
-
-
-
-The results are explanotary in themselves.
-
-The usage of boolean brings us to an interesting question of precendence.
-What if you want to apply one operator before another.
-
-Well you can use parenthesis for precedence.
-
-Lets write some piece of code to check this out.
-
- In[]: a=False
- In[]: b=True
- In[]: c=True
-
-To check how precedence changes with parenthesis. We will try two
-expressions and their evaluation.
-
-one ::
-
- (a and b) or c
-
-This expression gives the value True
-
-where as the expression ::
-
- a and (b or c)
-
-gives the value False.
-
-Lets now discuss sequence data structures in python. Sequence
-datatypes are those in which elements are kept in a sequential
-order. All the elements accessed using index.
-
-{{{ slide to for memory aid }}}
-
-The sequence datatypes in python are ::
-
- * list
- * string
- * tuple
-
-The list type is a container that holds a number of other
-objects, in the given order.
-
-We create our first list by typing ::
-
- num_list = [1, 2, 3, 4]
- num_list
-
-
-Items enclosed in square brackets separated by comma
-constitutes a list.
-
-Lists can store data of any type in them.
-
-We can have a list something like ::
-
- var_list = [1, 1.2, [1,2]]
- var_list
-
-
-
-Now we will have a look at strings
-
-type ::
-
- In[]: greeting_string="hello"
-
-
-greeting_string is now a string variable with the value "hello"
-
-{{{ Memory Aid Slide }}}
-
-Python strings can actually be defined in three different ways ::
-
- In[]: k='Single quote'
- In[]: l="Double quote contain's single quote"
- In[]: m='''"Contain's both"'''
-
-Thus, single quotes are used as delimiters usually.
-When a string contains a single quote, double quotes are used as delimiters.
-When a string quote contains both single and double quotes, triple quotes are
-used as delimiters.
-
-The last in the list of sequence data types is tuple.
-
-To create a tuple we use normal brackets '('
-unlike '[' for lists.::
-
- In[]: num_tuple = (1, 2, 3, 4, 5, 6, 7, 8)
-
-Because of their sequential property there are certain functions and
-operations we can apply to all of them.
-
-{{{ Slide for memory aid }}}
-
-The first one is accessing.
-
-They can be accessed using index numbers ::
-
- In[]: num_list[2]
- In[]: num_list[-1]
- In[]: greeting_string[1]
- In[]: greeting_string[3]
- In[]: greeting_string[-2]
- In[]: num_tuple[2]
- In[]: num_tuple[-3]
-
-
-Indexing starts from 0 from left to right and from -1 when accessing
-lists in reverse. Thus num_list[2] refers to the third element 3.
-and greetings [-2] is the second element from the end , that is 'l'.
-
-
-
-Addition gives a new sequence containing both sequences ::
-
- In[]: num_list+var_list
- In[]: a_string="another string"
- In[]: greeting_string+a_string
- In[]: t2=(3,4,6,7)
- In[]: num_tuple+t2
-
-len function gives the length ::
-
- In[]: len(num_list)
- In[]: len(greeting_string)
- In[]: len(num_tuple)
-
-Prints the length the variable.
-
-We can check the containership of an element using the 'in' keyword ::
-
- In[]: 3 in num_list
- In[]: 'H' in greeting_string
- In[]: 2 in num_tuple
-
-We see that it gives True and False accordingly.
-
-Find maximum using max function and minimum using min::
-
- In[]: max(num_tuple)
- In[]: min(greeting_string)
-
-Get a sorted list and reversed list using sorted and reversed function ::
-
- In[]: sorted(num_list)
- In[]: reversed(greeting_string)
-
-As a consequence of the order one we access a group of elements together.
-This is called slicing and striding.
-
-First Slicing
-
-Given a list ::
-
- In[]:j=[1,2,3,4,5,6]
-
-Lets say we want elements starting from 2 and ending in 5.
-
-For this we can do ::
-
- In[]: j[1:4]
-
-The syntax for slicing is sequence variable name square bracket
-first element index, colon, second element index.The last element however is notincluded in the resultant list::
-
-
- In[]: j[:4]
-
-If first element is left blank default is from beginning and if last
-element is left blank it means till the end.
-
- In[]: j[1:]
-
- In[]: j[:]
-
-This effectively is the whole list.
-
-Striding is similar to slicing except that the step size here is not one.
-
-Lets see by example ::
-
- new_num_list=[1,2,3,4,5,6,7,8,9,10]
- new_num_list[1:8:2]
- [2, 4, 6, 8]
-
-The colon two added in the end signifies all the alternate elements. This is why we call this concept
-striding because we move through the list with a particular stride or step. The step in this example
-being 2.
-
-We have talked about many similar features of lists, strings and tuples. But there are many important
-features in lists that differ from strings and tuples. Lets see this by example.::
-
- In[]: new_num_list[1]=9
- In[]: greeting_string[1]='k'
-
-{{{ slide to show the error }}}
-
-
-
-As you can see while the first command executes with out a problem there is an error on the second one.
-
-Now lets try ::
-
- In[]: new_tuple[1]=5
-
-Its the same error. This is because strings and tuples share the property of being immutable.
-We cannot change the value at a particular index just by assigning a new value at that position.
-
-
-We have looked at different types but we need to convert one data type into another. Well lets one
-by one go through methods by which we can convert one data type to other:
-
-We can convert all the number data types to one another ::
-
- i=34
- d=float(i)
- d
-
-Python has built in functions int, float and complex to convert one number type
-data structure to another.
-
- dec=2.34
- dec_con=int(dec)
- dec_con
-
-
-As you can see the decimal part of the number is simply stripped to get the integer.::
-
- com=2.3+4.2j
- float(com)
- com
-
-In case of complex number to floating point only the real value of complex number is taken.
-
-Similarly we can convert list to tuple and tuple to list ::
-
- lst=[3,4,5,6]
- tup=tuple(lst)
- tupl=(3,23,4,56)
- lst=list(tuple)
-
-However string to list and list to string is an interesting problem.
-Lets say we have a string ::
-
- In: somestring="Is there a way to split on these spaces."
- In: somestring.split()
-
-
-This produces a list with the string split at whitespace.
-similarly we can split on some other character.
-
- In: otherstring="Tim,Amy,Stewy,Boss"
-
-How do we split on comma , simply pass it as argument ::
-
- In: otherstring.split(',')
-
-join function does the opposite. Joins a list to make a string.::
-
- In[]:','.join['List','joined','on','commas']
-
-Thus we get a list joined on commas. Similarly we can do spaces.::
-
- In[]:' '.join['Now','on','spaces']
-
-Note that the list has to be a list of strings to apply join operation.
-
-.. #[Nishanth]: string to list is fine. But list to string can be left for
- string manipulations. Just say it requires some string
- manipulations and leave it there.
-
-.. #[Nishanth]: Where is the summary
- There are no exercises in the script
-
-{{{ Show the "sponsored by FOSSEE" slide }}}
-
-This tutorial was created as a part of FOSSEE project, NME ICT, MHRD India
-
-Hope you have enjoyed and found it useful.
-
-Thank You.
-
-
-
-Author : Amit Sethi
-Internal Reviewer 1 : Nishanth
-Internal Reviewer 2 :
-External Reviewer
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/getting-started-with-lists/getting_started_with_lists.rst Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,137 @@
+Hello friends and welcome to the tutorial on getting started with
+lists.
+
+ {{{ Show the slide containing title }}}
+
+ {{{ Show the slide containing the outline slide }}}
+
+In this tutorial we will be getting acquainted with a python data
+structure called lists. We will learn ::
+
+ * How to create lists
+ * Structure of lists
+ * Access list elements
+ * Append elements to lists
+ * Deleting elements from lists
+
+List is a compound data type, it can contain data of other data
+types. List is also a sequence data type, all the elements are in
+order and there order has a meaning.
+
+We will first create an empty list with no elements. On your IPython
+shell type ::
+
+ empty = []
+ type(empty)
+
+
+This is an empty list without any elements.
+
+* Filled lists
+
+Lets now define a list, nonempty and fill it with some random elements.
+
+nonempty = ['spam', 'eggs', 100, 1.234]
+
+Thus the simplest way of creating a list is typing out a sequence
+of comma-separated values (items) between square brackets.
+All the list items need not have the same data type.
+
+
+
+As we can see lists can contain different kinds of data. In the
+previous example 'spam' and 'eggs' are strings and 100 and 1.234
+integer and float. Thus we can put elements of heterogenous types in
+lists. Thus list themselves can be one of the element types possible
+in lists. Thus lists can also contain other lists. Example ::
+
+ list_in_list=[[4,2,3,4],'and', 1, 2, 3, 4]
+
+We access list elements using the number of index. The
+index begins from 0. So for list nonempty, nonempty[0] gives the
+first element, nonempty[1] the second element and so on and
+nonempty[3] the last element. ::
+
+ nonempty[0]
+ nonempty[1]
+ nonempty[3]
+
+We can also access the elememts from the end using negative indices ::
+
+ nonempty[-1]
+ nonempty[-2]
+ nonempty[-4]
+
+-1 gives the last element which is the 4th element , -2 second to last and -4 gives the fourth
+from last element which is first element.
+
+We can append elements to the end of a list using append command. ::
+
+ nonempty.append('onemore')
+ nonempty
+ nonempty.append(6)
+ nonempty
+
+As we can see non empty appends 'onemore' and 6 at the end.
+
+
+
+Using len function we can check the number of elements in the list
+nonempty. In this case it being 6 ::
+
+ len(nonempty)
+
+
+
+Just like we can append elements to a list we can also remove them.
+There are two ways of doing it. One is by using index. ::
+
+ del(nonempty[1])
+
+
+
+deletes the element at index 1, i.e the second element of the
+list, 'eggs'. The other way is removing element by content. Lets say
+one wishes to delete 100 from nonempty list the syntax of the command
+should be ::
+
+ a.remove(100)
+
+but what if their were two 100's. To check that lets do a small
+experiment. ::
+
+ a.append('spam')
+ a
+ a.remove('spam')
+ a
+
+If we check a now we will see that the first occurence 'spam' is removed
+thus remove removes the first occurence of the element in the sequence
+and leaves others untouched.
+
+
+{{{Slide for Summary }}}
+
+
+In this tutorial we came across a sequence data type called lists. ::
+
+ * We learned how to create lists.
+ * How to access lists.
+ * Append elements to list.
+ * Delete Element from list.
+ * And Checking list length.
+
+
+
+{{{ Sponsored by Fossee Slide }}}
+
+This tutorial was created as a part of FOSSEE project.
+
+I hope you found this tutorial useful.
+
+Thank You
+
+
+ * Author : Amit Sethi
+ * First Reviewer :
+ * Second Reviewer : Nishanth
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/getting-started-with-lists/questions.rst Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,47 @@
+Objective Questions
+-------------------
+
+.. A mininum of 8 questions here (along with answers)
+
+1. How do you create an empty list? ::
+
+ empty=[]
+
+2. What is the most important property of sequence data types like lists?
+
+ The elements are in order and can be accessed by index numbers.
+
+3. Can you have a list inside a list ?
+
+ Yes,List can contain all the other data types, including list.
+
+ Example:
+ list_in_list=[2.3,[2,4,6],'string,'all datatypes can be there']
+
+4. What is the index number of the first element in a list?
+
+ 0
+ nonempty = ['spam', 'eggs', 100, 1.234]
+ nonempty[0]
+
+5. How would you access the end of a list without finding its length?
+
+ Using negative indices. We can the list from the end using negative indices.
+
+ ::
+ nonempty = ['spam', 'eggs', 100, 1.234]
+ nonempty[-1]
+
+6. What is the function to find the length of a list?
+
+ len
+
+ 7.
+
+Larger Questions
+----------------
+
+.. A minimum of 2 questions here (along with answers)
+
+1. Question 1
+2. Question 2
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/getting-started-with-lists/quickref.tex Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,8 @@
+Creating a linear array:\\
+{\ex \lstinline| x = linspace(0, 2*pi, 50)|}
+
+Plotting two variables:\\
+{\ex \lstinline| plot(x, sin(x))|}
+
+Plotting two lists of equal length x, y:\\
+{\ex \lstinline| plot(x, y)|}
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/getting-started-with-lists/slides.org Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,35 @@
+#+LaTeX_CLASS: beamer
+#+LaTeX_CLASS_OPTIONS: [presentation]
+#+BEAMER_FRAME_LEVEL: 1
+
+#+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\useoutertheme{infolines}\usecolortheme{default}\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
+#+OPTIONS: H:5 num:t toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t
+
+#+TITLE: Plotting Data
+#+AUTHOR: FOSSEE
+#+DATE: 2010-09-14 Tue
+#+EMAIL: info@fossee.in
+
+# \author[FOSSEE] {FOSSEE}
+
+# \institute[IIT Bombay] {Department of Aerospace Engineering\\IIT Bombay}
+# \date{}
+
+* Tutorial Plan
+** How to create lists
+** Structure of lists
+** Access list elements
+** Append elements to lists
+** Deleting elements from lists
+
+
+* Summary
+
+ l=[1,2,3,4]
+ l[-1]
+ l.append(5)
+ del(l[2])
+ len(l)
+
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/getting-started-with-lists/slides.tex Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,106 @@
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%Tutorial slides on Python.
+%
+% Author: FOSSEE
+% Copyright (c) 2009, FOSSEE, IIT Bombay
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+\documentclass[14pt,compress]{beamer}
+%\documentclass[draft]{beamer}
+%\documentclass[compress,handout]{beamer}
+%\usepackage{pgfpages}
+%\pgfpagesuselayout{2 on 1}[a4paper,border shrink=5mm]
+
+% Modified from: generic-ornate-15min-45min.de.tex
+\mode<presentation>
+{
+ \usetheme{Warsaw}
+ \useoutertheme{infolines}
+ \setbeamercovered{transparent}
+}
+
+\usepackage[english]{babel}
+\usepackage[latin1]{inputenc}
+%\usepackage{times}
+\usepackage[T1]{fontenc}
+
+\usepackage{ae,aecompl}
+\usepackage{mathpazo,courier,euler}
+\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}
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% Macros
+\setbeamercolor{emphbar}{bg=blue!20, fg=black}
+\newcommand{\emphbar}[1]
+{\begin{beamercolorbox}[rounded=true]{emphbar}
+ {#1}
+ \end{beamercolorbox}
+}
+\newcounter{time}
+\setcounter{time}{0}
+\newcommand{\inctime}[1]{\addtocounter{time}{#1}{\tiny \thetime\ m}}
+
+\newcommand{\typ}[1]{\lstinline{#1}}
+
+\newcommand{\kwrd}[1]{ \texttt{\textbf{\color{blue}{#1}}} }
+
+% Title page
+\title{Your Title Here}
+
+\author[FOSSEE] {FOSSEE}
+
+\institute[IIT Bombay] {Department of Aerospace Engineering\\IIT Bombay}
+\date{}
+
+% DOCUMENT STARTS
+\begin{document}
+
+\begin{frame}
+ \maketitle
+\end{frame}
+
+\begin{frame}[fragile]
+ \frametitle{Outline}
+ \begin{itemize}
+ \item
+ \end{itemize}
+\end{frame}
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%% All other slides here. %%
+%% The same slides will be used in a classroom setting. %%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+\begin{frame}[fragile]
+ \frametitle{Summary}
+ \begin{itemize}
+ \item
+ \end{itemize}
+\end{frame}
+
+\begin{frame}
+ \frametitle{Thank you!}
+ \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}
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/plotting-data/plotting-data.rst Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,136 @@
+Plotting Experimental Data
+=============================
+Hello and welcome , this tutorial on Plotting Experimental data is
+presented by the fossee team.
+
+{{{ Show the slide containing title }}}
+
+
+{{{ Show the Outline Slide }}}
+
+Here we will discuss plotting Experimental data.
+
+1. We will see how we can represent a sequence of numbers in Python.
+
+2. We will also become fimiliar with elementwise squaring of such a
+sequence.
+
+3. We will also see how we can use our graph to indicate Error.
+
+One needs to be fimiliar with the concepts of plotting
+mathematical functions in Python.
+
+We will use data from a Simple Pendulum Experiment to illustrate our
+points.
+
+{{{ Simple Pendulum data Slide }}}
+
+
+
+
+As we know for a simple pendulum length,L is directly proportional to
+the square of time,T. We shall be plotting L and T^2 values.
+
+
+First we will have to initiate L and T values. We initiate them as sequence
+of values. To tell ipython a sequence of values we write the sequence in
+comma seperated values inside two square brackets. This is also called List
+so to create two sequences
+
+L,t type in ipython shell. ::
+
+ In []: L = [0.1, 0.2, 0.3, 0.4, 0.5,0.6, 0.7, 0.8, 0.9]
+
+ In []: t= [0.69, 0.90, 1.19,1.30, 1.47, 1.58, 1.77, 1.83, 1.94]
+
+
+
+To obtain the square of sequence t we will use the function square
+with argument t.This is saved into the variable tsquare.::
+
+ In []: tsquare=square(t)
+
+ array([ 0.4761, 0.81 , 1.4161, 1.69 , 2.1609, 2.4964, 3.1329,
+ 3.3489, 3.7636])
+
+
+Now to plot L vs T^2 we will simply type ::
+
+ In []: plot(L,t,.)
+
+'.' here represents to plot use small dots for the point. ::
+
+ In []: clf()
+
+You can also specify 'o' for big dots.::
+
+ In []: plot(L,t,o)
+
+ In []: clf()
+
+
+{{{ Slide with Error data included }}}
+
+
+Now we shall try and take into account error into our plots . The
+Error values for L and T are on your screen.We shall again intialize
+the sequence values in the same manner as we did for L and t ::
+
+ In []: delta_L= [0.08,0.09,0.07,0.05,0.06,0.00,0.06,0.06,0.01]
+
+ In []: delta_T= [0.04,0.08,0.11,0.05,0.03,0.03,0.01,0.07,0.01]
+
+
+
+Now to plot L vs T^2 with an error bar we use the function errorbar()
+
+The syntax of the command is as given on the screen. ::
+
+
+ In []: errorbar(L,tsquare,xerr=delta_L, yerr=delta_T, fmt='b.')
+
+This gives a plot with error bar for x and y axis. The dots are of blue color. The parameters xerr and yerr are error on x and y axis and fmt is the format of the plot.
+
+
+similarly we can draw the same error bar with big red dots just change
+the parameters to fmt to 'ro'. ::
+
+ In []: clf()
+ In []: errorbar(L,tsquare,xerr=delta_L, yerr=delta_T, fmt='ro')
+
+
+
+thats it. you can explore other options to errorbar using the documentation
+of errorbar.::
+
+ In []: errorbar?
+
+
+{{{ Summary Slides }}}
+
+In this tutorial we have learnt :
+
+1. How to declare a sequence of number , specifically the kind of sequence we learned was a list.
+
+2. Plotting experimental data extending our knowledge from mathematical functions.
+
+3. The various options available for plotting dots instead of lines.
+
+4. Plotting experimental data such that we can also represent error. We did this using the errorbar() function.
+
+
+ {{{ Show the "sponsored by FOSSEE" slide }}}
+
+
+
+This tutorial was created as a part of FOSSEE project.
+
+Hope you have enjoyed and found it useful.
+
+ Thankyou
+
+
+
+Author : Amit Sethi
+Internal Reviewer :
+Internal Reviewer 2 :
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/plotting-data/questions.rst Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,56 @@
+Objective Questions
+-------------------
+
+.. A mininum of 8 questions here (along with answers)
+
+1. How do you declare a sequence of numbers in python?
+ Give example .
+
+ Comma seperated numbers inside two square brackets.
+
+ seq=[1.5,3.2,8.7]
+
+
+2. Square the following sequence?
+
+ distance_values=[2.1,4.6,8.72,9.03].
+
+ square(distance_values)
+
+
+
+3. How do you plot points ?
+
+ By passing an extra parameter '.'.
+
+4. What does the parameter 'o' do ?
+
+ It plots large points.
+
+5. How do you plot error in Python?
+
+ Using the function error bar.
+
+6. How do I get large red colour dots on a plot?
+
+ By passing the paramter 'ro'.
+
+7. What are the parameters 'xerr' and 'yerr' in errorbar function for?
+
+ xerr - List of error values of variable on x axis.
+ yerr - List of error values of variable on y ayis.
+
+8. How would you plot error bar with a line?
+
+ The fmt parameter for a line will be '-'.
+
+
+
+
+Larger Questions
+----------------
+
+.. A minimum of 2 questions here (along with answers)
+
+1. Question 1
+2. Question 2
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/plotting-data/slides.org Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,84 @@
+#+LaTeX_CLASS: beamer
+#+LaTeX_CLASS_OPTIONS: [presentation]
+#+BEAMER_FRAME_LEVEL: 1
+
+#+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\useoutertheme{infolines}\usecolortheme{default}\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
+#+OPTIONS: H:5 num:t toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t
+
+#+TITLE: Plotting Experimental Data
+#+AUTHOR: FOSSEE
+#+DATE: 2010-09-14 Tue
+#+EMAIL: info@fossee.in
+
+# \author[FOSSEE] {FOSSEE}
+
+# \institute[IIT Bombay] {Department of Aerospace Engineering\\IIT Bombay}
+# \date{}
+
+* Tutorial Plan
+** Plotting Experiment Data and Error Bars
+* Pre-requisites
+** Plotting simple analytical Functions
+* plot L vs. T^2
+
+#+ORGTBL: L vs T^2 orgtbl-to-latex
+
+ | L | T |
+ | 0.1 | 0.69 |
+ | 0.2 | 0.90 |
+ | 0.3 | 1.19 |
+ | 0.4 | 1.30 |
+ | 0.5 | 1.47 |
+ | 0.6 | 1.58 |
+ | 0.7 | 1.77 |
+ | 0.8 | 1.83 |
+ | 0.9 | 1.94 |
+
+
+
+
+* Initializing L & T
+ : In []: L = [0.1, 0.2, 0.3, 0.4, 0.5,
+ : 0.6, 0.7, 0.8, 0.9]
+ : In []: t = [0.69, 0.90, 1.19,
+ : 1.30, 1.47, 1.58,
+ : 1.77, 1.83, 1.94]
+* square()
+ : In []: tsquare=square(t)
+
+ : array([ 0.4761, 0.81 , 1.4161, 1.69 , 2.1609, 2.4964, 3.1329,
+ : 3.3489, 3.7636])
+
+
+* Plotting
+ : In[]: plot(L,t,.)
+
+
+ : In[]: plot(L,t,o)
+
+* Adding an Error Column
+
+
+ | L | T | /Delta L | /Delta T |
+ | 0.1 | 0.69 | 0.08 | 0.04 |
+ | 0.2 | 0.90 | 0.09 | 0.08 |
+ | 0.3 | 1.19 | 0.07 | 0.11 |
+ | 0.4 | 1.30 | 0.05 | 0.05 |
+ | 0.5 | 1.47 | 0.06 | 0.03 |
+ | 0.6 | 1.58 | 0.00 | 0.03 |
+ | 0.7 | 1.77 | 0.06 | 0.01 |
+ | 0.8 | 1.83 | 0.06 | 0.07 |
+ | 0.9 | 1.94 | 0.01 | 0.01 |
+
+
+* Plotting Error bar
+
+ : In[]: delta_L= [0.08,0.09,0.07,0.05,0.16,
+ : 0.00,0.06,0.06,0.01]
+ : In[]: delta_T= [0.04,0.08,0.11,0.05,0.03,
+ : 0.03,0.01,0.07,0.01]
+
+
+
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/plotui/questions.rst Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,51 @@
+Objective Questions
+-------------------
+
+.. A mininum of 8 questions here (along with answers)
+
+1. Create 100 equally spaced points between -pi/2 and pi/2?
+
+ Answer: linspace(-pi/2,pi/2,100)
+
+2. How do you clear a figure in ipython?
+
+ Answer: clf()
+
+3. How do find the length of a sequence?
+
+ Answer: len(sequence_name)
+
+4. Create a plot of x and e^x where x is 100 equally spaced points between 0,pi. Hint: e^x -> exp(x) for ipython
+
+ Answer: x=linspace(0,pi,100)
+ plot(x,exp(x))
+
+5. List four formats in which you can save a plot in ipython?
+
+ Answer: png,eps,pdf,ps
+
+6. List the kind of buttons available in plotui to study the plot better ?
+
+ Zoom button to Zoom In to a region.
+ Pan button to move it around.
+
+7. What are the left and right arrow buttons for?
+
+ Answer: These buttons take you to the states that the plot has been. Much like a browser left and right arrow button.
+
+
+
+8. What is the home button for in the Plot UI?
+
+ Initial State of the plot.
+
+
+
+
+Larger Questions
+----------------
+
+.. A minimum of 2 questions here (along with answers)
+
+1. Question 1
+2. Question 2
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/plotui/quickref.tex Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,8 @@
+Creating a linear array:\\
+{\ex \lstinline| x = linspace(0, 2*pi, 50)|}
+
+Plotting two variables:\\
+{\ex \lstinline| plot(x, sin(x))|}
+
+Plotting two lists of equal length x, y:\\
+{\ex \lstinline| plot(x, y)|}
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/plotui/script.rst Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,182 @@
+Hello and welcome to the tutorial on creating simple plots using
+Python.This tutorial is presented by the Fossee group.
+{{{ Show the Title Slide }}}
+
+I hope you have IPython running on your computer.
+
+In this tutorial we will look at plot command and also how to study
+the plot using the UI.
+
+{{{ Show Outline Slide }}}
+
+Lets start ipython on your shell, type ::
+
+ $ipython -pylab
+
+
+Pylab is a python library which provides plotting functionality.It
+also provides many other important mathematical and scientific
+functions. After running IPython -pylab in your shell if at the top of
+the result of this command, you see something like ::
+
+
+ `ERROR: matplotlib could NOT be imported! Starting normal
+ IPython.`
+
+
+{{{ Slide with Error written on it }}}
+
+Then you have to install matplotlib and run this command again.
+
+Now type in your ipython shell ::
+
+ In[]: linpace?
+
+
+
+as the documentation says, it returns `num` evenly spaced samples,
+calculated over the interval start and stop. To illustrate this, lets
+do it form 1 to 100 and try 100 points. ::
+
+ In[]: linspace(1,100,100)
+
+As you can see a sequence of numbers from 1 to 100 appears.
+
+Now lets try 200 points between 0 and 1 you do this by typing ::
+
+
+ In[]: linspace(0,1,200)
+
+0 for start , 1 for stop and 200 for no of points. In linspace
+the start and stop points can be integers, decimals , or
+constants. Let's try and get 100 points between -pi to pi. Type ::
+
+ In[]: p = linspace(-pi,pi,100)
+
+
+'pi' here is constant defined by pylab. Save this to the variable, p
+.
+
+If you now ::
+
+ In[]: len(p)
+
+You will get the no. of points. len function gives the no of elements
+of a sequence.
+
+
+Let's try and plot a cosine curve between -pi and pi using these
+points. Simply type ::
+
+
+ In[]: plot(p,cos(points))
+
+Here cos(points) gets the cosine value at every corresponding point to
+p.
+
+
+We can also save cos(points) to variable cosine and plot it using
+plot.::
+
+ In[]: cosine=cos(points)
+
+ In[]: plot(p,cosine)
+
+
+
+Now do ::
+
+ In[]: clf()
+
+this will clear the plot.
+
+This is done because any other plot we try to make shall come on the
+same drawing area. As we do not wish to clutter the area with
+overlaid plots , we just clear it with clf(). Now lets try a sine
+plot. ::
+
+
+ In []: plot(p,sin(p))
+
+
+
+
+The Window on which the plot appears can be used to study it better.
+
+First of all moving the mouse around gives us the point where mouse
+points at.
+
+Also we have some buttons the right most among them is
+for saving the file.
+
+Just click on it specifying the name of the file. We will save the plot
+by the name sin_curve in pdf format.
+
+
+
+{{{ Action corelating with the words }}}
+
+As you can see I can specify format of file from the dropdown.
+
+Formats like png ,eps ,pdf, ps are available.
+
+Left to the save button is the slider button to specify the margins.
+
+{{{ Action corelating with the words }}}
+
+Left to this is zoom button to zoom into the plot. Just specify the
+region to zoom into.
+The button left to it can be used to move the axes of the plot.
+
+{{{ Action corelating with the words }}}
+
+The next two buttons with a left and right arrow icons change the state of the
+plot and take it to the previous state it was in. It more or less acts like a
+back and forward button in the browser.
+
+{{{ Action corelating with the words }}}
+
+The last one is 'home' referring to the initial plot.
+
+{{{ Action corelating with the words}}}
+
+
+
+{{{ Summary Slide }}}
+
+
+In this tutorial we have looked at
+
+1. Starting Ipython with pylab
+
+2. Using linspace function to create `num` equaly spaced points in a region.
+
+3. Finding length of sequnces using len.
+
+4. Plotting mathematical functions using plot.
+
+4. Clearing drawing area using clf
+
+5. Using the UI of plot for studying it better . Using functionalities like save , zoom , moving the plots on x and y axis
+
+etc ..
+
+
+
+{{{ Show the "sponsored by FOSSEE" slide }}}
+
+
+
+This tutorial was created as a part of FOSSEE project, NME ICT, MHRD India
+
+
+
+ Hope you have enjoyed and found it useful.
+
+ Thankyou
+
+
+
+Author : Amit Sethi
+Internal Reviewer :
+Internal Reviewer 2 :
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/plotui/slides.tex Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,106 @@
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%Tutorial slides on Python.
+%
+% Author: FOSSEE
+% Copyright (c) 2009, FOSSEE, IIT Bombay
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+\documentclass[14pt,compress]{beamer}
+%\documentclass[draft]{beamer}
+%\documentclass[compress,handout]{beamer}
+%\usepackage{pgfpages}
+%\pgfpagesuselayout{2 on 1}[a4paper,border shrink=5mm]
+
+% Modified from: generic-ornate-15min-45min.de.tex
+\mode<presentation>
+{
+ \usetheme{Warsaw}
+ \useoutertheme{infolines}
+ \setbeamercovered{transparent}
+}
+
+\usepackage[english]{babel}
+\usepackage[latin1]{inputenc}
+%\usepackage{times}
+\usepackage[T1]{fontenc}
+
+\usepackage{ae,aecompl}
+\usepackage{mathpazo,courier,euler}
+\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}
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% Macros
+\setbeamercolor{emphbar}{bg=blue!20, fg=black}
+\newcommand{\emphbar}[1]
+{\begin{beamercolorbox}[rounded=true]{emphbar}
+ {#1}
+ \end{beamercolorbox}
+}
+\newcounter{time}
+\setcounter{time}{0}
+\newcommand{\inctime}[1]{\addtocounter{time}{#1}{\tiny \thetime\ m}}
+
+\newcommand{\typ}[1]{\lstinline{#1}}
+
+\newcommand{\kwrd}[1]{ \texttt{\textbf{\color{blue}{#1}}} }
+
+% Title page
+\title{Your Title Here}
+
+\author[FOSSEE] {FOSSEE}
+
+\institute[IIT Bombay] {Department of Aerospace Engineering\\IIT Bombay}
+\date{}
+
+% DOCUMENT STARTS
+\begin{document}
+
+\begin{frame}
+ \maketitle
+\end{frame}
+
+\begin{frame}[fragile]
+ \frametitle{Outline}
+ \begin{itemize}
+ \item
+ \end{itemize}
+\end{frame}
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%% All other slides here. %%
+%% The same slides will be used in a classroom setting. %%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+\begin{frame}[fragile]
+ \frametitle{Summary}
+ \begin{itemize}
+ \item
+ \end{itemize}
+\end{frame}
+
+\begin{frame}
+ \frametitle{Thank you!}
+ \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/statistics.rst Wed Oct 13 14:00:33 2010 +0530
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,165 +0,0 @@
-Hello friends and welcome to the tutorial on statistics using Python
-
-{{{ Show the slide containing title }}}
-
-{{{ Show the slide containing the outline slide }}}
-
-In this tutorial, we shall learn
- * Doing simple statistical operations in Python
- * Applying these to real world problems
-
-You will need Ipython with pylab running on your computer
-to use this tutorial.
-
-Also you will need to know about loading data using loadtxt to be
-able to follow the real world application.
-
-We will first start with the most necessary statistical
-operation i.e finding mean.
-
-We have a list of ages of a random group of people ::
-
- age_list=[4,45,23,34,34,38,65,42,32,7]
-
-One way of getting the mean could be getting sum of
-all the elements and dividing by length of the list.::
-
- sum_age_list =sum(age_list)
-
-sum function gives us the sum of the elements.::
-
- mean_using_sum=sum_age_list/len(age_list)
-
-This obviously gives the mean age but python has another
-method for getting the mean. This is the mean function::
-
- mean(age_list)
-
-Mean can be used in more ways in case of 2 dimensional lists.
-Take a two dimensional list ::
-
- two_dimension=[[1,5,6,8],[1,3,4,5]]
-
-the mean function used in default manner will give the mean of the
-flattened sequence. Flattened sequence means the two lists taken
-as if it was a single list of elements ::
-
- mean(two_dimension)
- flattened_seq=[1,5,6,8,1,3,4,5]
- mean(flattened_seq)
-
-As you can see both the results are same. The other is mean
-of each column.::
-
- mean(two_dimension,0)
- array([ 1. , 4. , 5. , 6.5])
-
-or along the two rows seperately.::
-
- mean(two_dimension,1)
- array([ 5. , 3.25])
-
-We can see more option of mean using ::
-
- mean?
-
-Similarly we can calculate median and stanard deviation of a list
-using the functions median and std::
-
- median(age_list)
- std(age_list)
-
-
-
-Now lets apply this to a real world example ::
-
-We will a data file that is at the a path
-``/home/fossee/sslc2.txt``.It contains record of students and their
-performance in one of the State Secondary Board Examination. It has
-180, 000 lines of record. We are going to read it and process this
-data. We can see the content of file by double clicking on it. It
-might take some time to open since it is quite a large file. Please
-don't edit the data. This file has a particular structure.
-
-We can do ::
-
- cat /home/fossee/sslc2.txt
-
-to check the contents of the file.
-
-Each line in the file is a set of 11 fields separated
-by semi-colons Consider a sample line from this file.
-A;015163;JOSEPH RAJ S;083;042;47;00;72;244;;;
-
-The following are the fields in any given line.
-* Region Code which is 'A'
-* Roll Number 015163
-* Name JOSEPH RAJ S
-* Marks of 5 subjects: ** English 083 ** Hindi 042 ** Maths 47 **
-Science AA (Absent) ** Social 72
-* Total marks 244
-*
-
-Now lets try and find the mean of English marks of all students.
-
-For this we do. ::
-
- L=loadtxt('/home/fossee/sslc2.txt',usecols=(3,),delimiter=';')
- L
- mean(L)
-
-loadtxt function loads data from an external file.Delimiter specifies
-the kind of character are the fields of data seperated by.
-usecols specifies the columns to be used so (3,). The 'comma' is added
-because usecols is a sequence.
-
-To get the median marks. ::
-
- median(L)
-
-Standard deviation. ::
-
- std(L)
-
-
-Now lets try and and get the mean for all the subjects ::
-
- L=loadtxt('sslc2.txt',usecols=(3,4,5,6,7),delimiter=';')
- mean(L,0)
- array([ 73.55452504, 53.79828941, 62.83342759, 50.69806158, 63.17056881])
-
-As we can see from the result mean(L,0). The resultant sequence
-is the mean marks of all students that gave the exam for the five subjects.
-
-and ::
-
- mean(L,1)
-
-
-is the average accumalative marks of individual students. Clearly, mean(L,0)
-was a row wise calcultaion while mean(L,1) was a column wise calculation.
-
-
-{{{ Show summary slide }}}
-
-This brings us to the end of the tutorial.
-we have learnt
-
- * How to do the standard statistical operations sum , mean
- median and standard deviation in Python.
- * Combine text loading and the statistical operation to solve
- real world problems.
-
-{{{ Show the "sponsored by FOSSEE" slide }}}
-
-
-This tutorial was created as a part of FOSSEE project, NME ICT, MHRD India
-
-Hope you have enjoyed and found it useful.
-Thankyou
-
-.. Author : Amit Sethi
- Internal Reviewer 1 :
- Internal Reviewer 2 :
- External Reviewer :
-
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/statistics/questions.rst Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,54 @@
+Objective Questions
+-------------------
+
+.. A mininum of 8 questions here (along with answers)
+
+1. What is the function for calculating sum of a list?
+
+ sum
+
+2. Calcutate the mean of the given list?
+
+ student_marks=[74,78,56,87,91,82]
+
+ mean(student_marks)
+
+
+3. Given a two dimensional list,::
+ two_dimensional_list=[[3,5,8,2,1],[4,3,6,2,1]]
+
+ how do we calculate the mean of each row?
+
+
+ mean(two_dimensinal_list,1)
+
+4. What is the function for calculating standard deviation of a list?
+
+ std
+
+5. Calcutate the median of the given list?
+
+ student_marks=[74,78,56,87,91,82]
+
+ median(age_list)
+
+6. How do you calculate median along the columns of two dimensional array?
+
+ median(two_dimensional_list,0)
+
+
+7. What is the name of the function to load text from an external file?
+
+ loadtxt
+
+8. I have a file with 6 columns but I wish to load only text in column 2,3,4,5. How do I specify that?
+
+ Using the parameter usecols=(2,3,4,5)
+
+Larger Questions
+----------------
+
+.. A minimum of 2 questions here (along with answers)
+
+1. Question 1
+2. Question 2
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/statistics/quickref.tex Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,8 @@
+Creating a linear array:\\
+{\ex \lstinline| x = linspace(0, 2*pi, 50)|}
+
+Plotting two variables:\\
+{\ex \lstinline| plot(x, sin(x))|}
+
+Plotting two lists of equal length x, y:\\
+{\ex \lstinline| plot(x, y)|}
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/statistics/script.rst Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,174 @@
+Hello friends and welcome to the tutorial on statistics using Python
+
+{{{ Show the slide containing title }}}
+
+{{{ Show the slide containing the outline slide }}}
+
+In this tutorial, we shall learn
+ * Doing simple statistical operations in Python
+ * Applying these to real world problems
+
+You will need Ipython with pylab running on your computer
+to use this tutorial.
+
+Also you will need to know about loading data using loadtxt to be
+able to follow the real world application.
+
+We will first start with the most necessary statistical
+operation i.e finding mean.
+
+We have a list of ages of a random group of people ::
+
+ age_list=[4,45,23,34,34,38,65,42,32,7]
+
+One way of getting the mean could be getting sum of
+all the elements and dividing by length of the list.::
+
+ sum_age_list =sum(age_list)
+
+sum function gives us the sum of the elements.::
+
+ mean_using_sum=float(sum_age_list)/len(age_list)
+
+This obviously gives the mean age but python has another
+method for getting the mean. This is the mean function::
+
+ mean(age_list)
+
+Mean can be used in more ways in case of 2 dimensional lists.
+Take a two dimensional list ::
+
+ two_dimension=[[1,5,6,8],[1,3,4,5]]
+
+the mean function used in default manner will give the mean of the
+flattened sequence. Flattened sequence means the two lists taken
+as if it was a single list of elements ::
+
+ mean(two_dimension)
+ flattened_seq=[1,5,6,8,1,3,4,5]
+ mean(flattened_seq)
+
+As you can see both the results are same. The other way is mean
+of each column.::
+
+ mean(two_dimension,0)
+ array([ 1. , 4. , 5. , 6.5])
+
+we pass an extra argument 0 in that case.
+
+In case of getting mean along the rows the argument is 1::
+
+ mean(two_dimension,1)
+ array([ 5. , 3.25])
+
+We can see more option of mean using ::
+
+ mean?
+
+Similarly we can calculate median and stanard deviation of a list
+using the functions median and std::
+
+ median(age_list)
+ std(age_list)
+
+Median and std can also be calculated for two dimensional arrays along columns and rows just like mean.
+
+ For example ::
+
+ median(two_dimension,0)
+ std(two_dimension,1)
+
+This gives us the median along the colums and standard devition along the rows.
+
+Now lets apply this to a real world example
+
+We will a data file that is at the a path
+``/home/fossee/sslc2.txt``.It contains record of students and their
+performance in one of the State Secondary Board Examination. It has
+180, 000 lines of record. We are going to read it and process this
+data. We can see the content of file by double clicking on it. It
+might take some time to open since it is quite a large file. Please
+don't edit the data. This file has a particular structure.
+
+We can do ::
+
+ cat /home/fossee/sslc2.txt
+
+to check the contents of the file.
+
+Each line in the file is a set of 11 fields separated
+by semi-colons Consider a sample line from this file.
+A;015163;JOSEPH RAJ S;083;042;47;00;72;244;;;
+
+The following are the fields in any given line.
+* Region Code which is 'A'
+* Roll Number 015163
+* Name JOSEPH RAJ S
+* Marks of 5 subjects: ** English 083 ** Hindi 042 ** Maths 47 **
+Science AA (Absent) ** Social 72
+* Total marks 244
+*
+
+Now lets try and find the mean of English marks of all students.
+
+For this we do. ::
+
+ L=loadtxt('/home/fossee/sslc2.txt',usecols=(3,),delimiter=';')
+ L
+ mean(L)
+
+loadtxt function loads data from an external file.Delimiter specifies
+the kind of character are the fields of data seperated by.
+usecols specifies the columns to be used so (3,). The 'comma' is added
+because usecols is a sequence.
+
+To get the median marks. ::
+
+ median(L)
+
+Standard deviation. ::
+
+ std(L)
+
+
+Now lets try and and get the mean for all the subjects ::
+
+ L=loadtxt('/home/fossee/sslc2.txt',usecols=(3,4,5,6,7),delimiter=';')
+ mean(L,0)
+ array([ 73.55452504, 53.79828941, 62.83342759, 50.69806158, 63.17056881])
+
+As we can see from the result mean(L,0). The resultant sequence
+is the mean marks of all students that gave the exam for the five subjects.
+
+and ::
+
+ mean(L,1)
+
+
+is the average accumalative marks of individual students. Clearly, mean(L,0)
+was a row wise calcultaion while mean(L,1) was a column wise calculation.
+
+
+{{{ Show summary slide }}}
+
+This brings us to the end of the tutorial.
+we have learnt
+
+ * How to do the standard statistical operations sum , mean
+ median and standard deviation in Python.
+ * Combine text loading and the statistical operation to solve
+ real world problems.
+
+{{{ Show the "sponsored by FOSSEE" slide }}}
+
+
+This tutorial was created as a part of FOSSEE project, NME ICT, MHRD India
+
+Hope you have enjoyed and found it useful.
+Thankyou
+
+.. Author : Amit Sethi
+ Internal Reviewer 1 :
+ Internal Reviewer 2 :
+ External Reviewer :
+
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/statistics/slides.org Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,33 @@
+#+LaTeX_CLASS: beamer
+#+LaTeX_CLASS_OPTIONS: [presentation]
+#+BEAMER_FRAME_LEVEL: 1
+
+#+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\useoutertheme{infolines}\usecolortheme{default}\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
+#+OPTIONS: H:5 num:t toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t
+
+#+TITLE: Statistics
+#+AUTHOR: FOSSEE
+#+DATE: 2010-09-14 Tue
+#+EMAIL: info@fossee.in
+
+# \author[FOSSEE] {FOSSEE}
+
+# \institute[IIT Bombay] {Department of Aerospace Engineering\\IIT Bombay}
+# \date{}
+
+* Tutorial Plan
+** Doing simple statistical operations in Python
+** Using loadtxt to solve statistics problem
+
+* Summary
+** seq=[1,5,6,8,1,3,4,5]
+** sum(seq)
+** mean(seq)
+** median(seq)
+** std(seq)
+
+* Summary
+
+** loadtxt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/statistics/slides.tex Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,106 @@
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%Tutorial slides on Python.
+%
+% Author: FOSSEE
+% Copyright (c) 2009, FOSSEE, IIT Bombay
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+\documentclass[14pt,compress]{beamer}
+%\documentclass[draft]{beamer}
+%\documentclass[compress,handout]{beamer}
+%\usepackage{pgfpages}
+%\pgfpagesuselayout{2 on 1}[a4paper,border shrink=5mm]
+
+% Modified from: generic-ornate-15min-45min.de.tex
+\mode<presentation>
+{
+ \usetheme{Warsaw}
+ \useoutertheme{infolines}
+ \setbeamercovered{transparent}
+}
+
+\usepackage[english]{babel}
+\usepackage[latin1]{inputenc}
+%\usepackage{times}
+\usepackage[T1]{fontenc}
+
+\usepackage{ae,aecompl}
+\usepackage{mathpazo,courier,euler}
+\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}
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% Macros
+\setbeamercolor{emphbar}{bg=blue!20, fg=black}
+\newcommand{\emphbar}[1]
+{\begin{beamercolorbox}[rounded=true]{emphbar}
+ {#1}
+ \end{beamercolorbox}
+}
+\newcounter{time}
+\setcounter{time}{0}
+\newcommand{\inctime}[1]{\addtocounter{time}{#1}{\tiny \thetime\ m}}
+
+\newcommand{\typ}[1]{\lstinline{#1}}
+
+\newcommand{\kwrd}[1]{ \texttt{\textbf{\color{blue}{#1}}} }
+
+% Title page
+\title{Your Title Here}
+
+\author[FOSSEE] {FOSSEE}
+
+\institute[IIT Bombay] {Department of Aerospace Engineering\\IIT Bombay}
+\date{}
+
+% DOCUMENT STARTS
+\begin{document}
+
+\begin{frame}
+ \maketitle
+\end{frame}
+
+\begin{frame}[fragile]
+ \frametitle{Outline}
+ \begin{itemize}
+ \item
+ \end{itemize}
+\end{frame}
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%% All other slides here. %%
+%% The same slides will be used in a classroom setting. %%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+\begin{frame}[fragile]
+ \frametitle{Summary}
+ \begin{itemize}
+ \item
+ \end{itemize}
+\end{frame}
+
+\begin{frame}
+ \frametitle{Thank you!}
+ \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/symbolics.rst Wed Oct 13 14:00:33 2010 +0530
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,343 +0,0 @@
-Symbolics with Sage
--------------------
-
-This tutorial on using Sage for symbolic calculation is brought to you
-by Fossee group.
-
-.. #[Madhu: Sounds more or less like an ad!]
-
-{{{ Part of Notebook with title }}}
-
-.. #[Madhu: Please make your instructions, instructional. While
- recording if I have to read this, think what you are actually
- meaning it will take a lot of time]
-
-We would be using simple mathematical functions on the sage notebook
-for this tutorial.
-
-.. #[Madhu: What is this line doing here. I don't see much use of it]
-
-During the course of the tutorial we will learn
-
-{{{ Part of Notebook with outline }}}
-
-To define symbolic expressions in sage. Use built-in costants and
-function. Integration, differentiation using sage. Defining
-matrices. Defining Symbolic functions. Simplifying and solving
-symbolic expressions and functions.
-
-.. #[Nishanth]: The formatting is all messed up
- First fix the formatting and compile the rst
- The I shall review
-.. #[Madhu: Please make the above items full english sentences, not
- the slides like points. The person recording should be able to
- read your script as is. It can read something like "we will learn
- how to define symbolic expressions in Sage, using built-in ..."]
-
-Using sage we can perform mathematical operations on symbols.
-
-.. #[Madhu: Same mistake with period symbols! Please get the
- punctuation right. Also you may have to rephrase the above
- sentence as "We can use Sage to perform sybmolic mathematical
- operations" or such]
-
-On the sage notebook type::
-
- sin(y)
-
-It raises a name error saying that y is not defined. But in sage we
-can declare y as a symbol using var function.
-
-.. #[Madhu: But is not required]
-::
- var('y')
-
-Now if you type::
-
- sin(y)
-
- sage simply returns the expression .
-
-.. #[Madhu: Why is this line indented? Also full stop. When will you
- learn? Yes we can correct you. But corrections are for you to
- learn. If you don't learn from your mistakes, I don't know what
- to say]
-
-thus now sage treats sin(y) as a symbolic expression . You can use
-this to do a lot of symbolic maths using sage's built-in constants and
-expressions .
-
-.. #[Madhu: "Thus now"? It sounds like Dus and Nou, i.e 10 and 9 in
- Hindi! Full stop again. "a lot" doesn't mean anything until you
- quantify it or give examples.]
-
-Try out
-
-.. #[Madhu: "So let us try" sounds better]
- ::
-
- var('x,alpha,y,beta') x^2/alpha^2+y^2/beta^2
-
-Similarly , we can define many algebraic and trigonometric expressions
-using sage .
-
-.. #[Madhu: comma again. Show some more examples?]
-
-
-Sage also provides a few built-in constants which are commonly used in
-mathematics .
-
-example : pi,e,oo , Function n gives the numerical values of all these
- constants.
-
-.. #[Madhu: This doesn't sound like scripts. How will I read this
- while recording. Also if I were recording I would have read your
- third constant as Oh-Oh i.e. double O. It took me at least 30
- seconds to figure out it is infinity]
-
-For instance::
-
- n(e)
-
- 2.71828182845905
-
-gives numerical value of e.
-
-If you look into the documentation of n by doing
-
-.. #[Madhu: "documentation of the function "n"?]
-
-::
- n(<Tab>
-
-You will see what all arguments it can take etc .. It will be very
-helpful if you look at the documentation of all functions introduced
-
-.. #[Madhu: What does etc .. mean in a script?]
-
-Also we can define the no of digits we wish to use in the numerical
-value . For this we have to pass an argument digits. Type
-
-.. #[Madhu: "no of digits"? Also "We wish to obtain" than "we wish to
- use"?]
-::
-
- n(pi, digits = 10)
-
-Apart from the constants sage also has a lot of builtin functions like
-sin,cos,sinh,cosh,log,factorial,gamma,exp,arcsin,arccos,arctan etc ...
-lets try some out on the sage notebook.
-
-.. #[Madhu: Here "a lot" makes sense]
-::
-
- sin(pi/2)
-
- arctan(oo)
-
- log(e,e)
-
-
-Given that we have defined variables like x,y etc .. , We can define
-an arbitrary function with desired name in the following way.::
-
- var('x') function(<tab> {{{ Just to show the documentation
- extend this line }}} function('f',x)
-
-.. #[Madhu: What will the person recording show in the documentation
- without a script for it? Please don't assume recorder can cook up
- things while recording. It is impractical]
-
-Here f is the name of the function and x is the independent variable .
-Now we can define f(x) to be ::
-
- f(x) = x/2 + sin(x)
-
-Evaluating this function f for the value x=pi returns pi/2.::
-
- f(pi)
-
-We can also define functions that are not continuous but defined
-piecewise. We will be using a function which is a parabola between 0
-to 1 and a constant from 1 to 2 . type the following as given on the
-screen
-
-.. #[Madhu: Instead of "We will be using ..." how about "Let us define
- a function ..."]
-::
-
-
- var('x') h(x)=x^2 g(x)=1 f=Piecewise(<Tab> {{{ Just to show the
- documentation extend this line }}}
- f=Piecewise([[(0,1),h(x)],[(1,2),g(x)]],x) f
-
-Checking f at 0.4, 1.4 and 3 :: f(0.4) f(1.4) f(3)
-
-.. #[Madhu: Again this doesn't sound like a script]
-
-for f(3) it raises a value not defined in domain error .
-
-
-Apart from operations on expressions and functions one can also use
-them for series .
-
-.. #[Madhu: I am not able to understand this line. "Use them as
-.. series". Use what as series?]
-
-We first define a function f(n) in the way discussed above.::
-
- var('n') function('f', n)
-
-.. #[Madhu: Shouldn't this be on 2 separate lines?]
-
-To sum the function for a range of discrete values of n, we use the
-sage function sum.
-
-For a convergent series , f(n)=1/n^2 we can say ::
-
- var('n') function('f', n)
-
- f(n) = 1/n^2
-
- sum(f(n), n, 1, oo)
-
-For the famous Madhava series :: var('n') function('f', n)
-
-.. #[Madhu: What is this? your double colon says it must be code block
- but where is the indentation and other things. How will the
- recorder know about it?]
-
- f(n) = (-1)^(n-1)*1/(2*n - 1)
-
-This series converges to pi/4. It was used by ancient Indians to
-interpret pi.
-
-.. #[Madhu: I am losing the context. Please add something to bring
- this thing to the context]
-
-For a divergent series, sum would raise a an error 'Sum is
-divergent' ::
-
- var('n')
- function('f', n)
- f(n) = 1/n sum(f(n), n,1, oo)
-
-
-
-
-We can perform simple calculus operation using sage
-
-.. #[Madhu: When you switch to irrelevant topics make sure you use
- some connectors in English like "Moving on let us see how to
- perform simple calculus operations using Sage" or something like
- that]
-For example lets try an expression first ::
-
- diff(x**2+sin(x),x) 2x+cos(x)
-
-The diff function differentiates an expression or a function . Its
-first argument is expression or function and second argument is the
-independent variable .
-
-.. #[Madhu: Full stop, Full stop, Full stop]
-
-We have already tried an expression now lets try a function ::
-
- f=exp(x^2)+arcsin(x) diff(f(x),x)
-
-To get a higher order differentiation we need to add an extra argument
-for order ::
-
- diff(<tab> diff(f(x),x,3)
-
-.. #[Madhu: Please try to be more explicit saying third argument]
-
-in this case it is 3.
-
-
-Just like differentiation of expression you can also integrate them ::
-
- x = var('x') s = integral(1/(1 + (tan(x))**2),x) s
-
-.. #[Madhu: Two separate lines.]
-
-To find the factors of an expression use the "factor" function
-
-.. #[Madhu: See the diff]
-
-::
- factor(<tab> y = (x^100 - x^70)*(cos(x)^2 + cos(x)^2*tan(x)^2) f =
- factor(y)
-
-One can also simplify complicated expression using sage ::
- f.simplify_full()
-
-This simplifies the expression fully . You can also do simplification
-of just the algebraic part and the trigonometric part ::
-
- f.simplify_exp() f.simplify_trig()
-
-.. #[Madhu: Separate lines?]
-
-One can also find roots of an equation by using find_root function::
-
- phi = var('phi') find_root(cos(phi)==sin(phi),0,pi/2)
-
-.. #[Madhu: Separate lines?]
-
-Lets substitute this solution into the equation and see we were
-correct ::
-
- var('phi') f(phi)=cos(phi)-sin(phi)
- root=find_root(f(phi)==0,0,pi/2) f.substitute(phi=root)
-
-.. #[Madhu: Separate lines?]
-
-as we can see the solution is almost equal to zero .
-
-.. #[Madhu: So what?]
-
-We can also define symbolic matrices ::
-
-
-
- var('a,b,c,d') A=matrix([[a,1,0],[0,b,0],[0,c,d]]) A
-
-.. #[Madhu: Why don't you break the lines?]
-
-Now lets do some of the matrix operations on this matrix
-
-.. #[Madhu: Why don't you break the lines? Also how do you connect
- this up? Use some transformation keywords in English]
-::
- A.det() A.inverse()
-
-.. #[Madhu: Why don't you break the lines?]
-
-You can do ::
-
- A.<Tab>
-
-To see what all operations are available
-
-.. #[Madhu: Sounds very abrupt]
-
-{{{ Part of the notebook with summary }}}
-
-So in this tutorial we learnt how to
-
-
-We learnt about defining symbolic expression and functions .
-And some built-in constants and functions .
-Getting value of built-in constants using n function.
-Using Tab to see the documentation.
-Also we learnt how to sum a series using sum function.
-diff() and integrate() for calculus operations .
-Finding roots , factors and simplifying expression using find_root(),
-factor() , simplify_full, simplify_exp , simplify_trig .
-Substituting values in expression using substitute function.
-And finally creating symbolic matrices and performing operation on them .
-
-.. #[Madhu: See what Nishanth is doing. He has written this as
- points. So easy to read out while recording. You may want to
- reorganize like that]
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/symbolics/questions.rst Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,53 @@
+Objective Questions
+-------------------
+
+.. A mininum of 8 questions here (along with answers)
+
+1. How do you define a name 'y' as a symbol?
+
+
+ Answer: var('y')
+
+2. List out some constants pre-defined in sage?
+
+ Answer: pi, e ,euler_gamma
+
+3. List the functions for differentiation and integration in sage?
+
+ Answer: diff and integral
+
+4. Get the value of pi upto precision 5 digits using sage?
+
+ Answer: n(pi,5)
+
+5. Find third order differential of function.
+
+ f(x)=sin(x^2)+exp(x^3)
+
+ Answer: diff(f(x),x,3)
+
+6. What is the function to find factors of an expression?
+
+ Answer: factor
+
+7. What is syntax for simplifying a function f?
+
+ Answer f.simplify_full()
+
+8. Find the solution for x between pi/2 to pi for the given equation?
+
+ sin(x)==cos(x^3)+exp(x^4)
+ find_root(sin(x)==cos(x^3)+exp(x^4),pi/2,pi)
+
+9. Create a simple two dimensional matrix with two symbolic variables?
+
+ var('a,b')
+ A=matrix([[a,1],[2,b]])
+
+Larger Questions
+----------------
+
+.. A minimum of 2 questions here (along with answers)
+
+
+2. Question 2
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/symbolics/quickref.tex Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,8 @@
+Creating a linear array:\\
+{\ex \lstinline| x = linspace(0, 2*pi, 50)|}
+
+Plotting two variables:\\
+{\ex \lstinline| plot(x, sin(x))|}
+
+Plotting two lists of equal length x, y:\\
+{\ex \lstinline| plot(x, y)|}
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/symbolics/script.rst Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,343 @@
+Symbolics with Sage
+-------------------
+
+Hello friends and welcome to the tutorial on symbolics with sage.
+
+
+.. #[Madhu: Sounds more or less like an ad!]
+
+{{{ Part of Notebook with title }}}
+
+.. #[Madhu: Please make your instructions, instructional. While
+ recording if I have to read this, think what you are actually
+ meaning it will take a lot of time]
+
+We would be using simple mathematical functions on the sage notebook
+for this tutorial.
+
+.. #[Madhu: What is this line doing here. I don't see much use of it]
+
+During the course of the tutorial we will learn
+
+{{{ Part of Notebook with outline }}}
+
+To define symbolic expressions in sage. Use built-in costants and
+function. Integration, differentiation using sage. Defining
+matrices. Defining Symbolic functions. Simplifying and solving
+symbolic expressions and functions.
+
+.. #[Nishanth]: The formatting is all messed up
+ First fix the formatting and compile the rst
+ The I shall review
+.. #[Madhu: Please make the above items full english sentences, not
+ the slides like points. The person recording should be able to
+ read your script as is. It can read something like "we will learn
+ how to define symbolic expressions in Sage, using built-in ..."]
+
+Using sage we can perform mathematical operations on symbols.
+
+.. #[Madhu: Same mistake with period symbols! Please get the
+ punctuation right. Also you may have to rephrase the above
+ sentence as "We can use Sage to perform sybmolic mathematical
+ operations" or such]
+
+On the sage notebook type::
+
+ sin(y)
+
+It raises a name error saying that y is not defined. But in sage we
+can declare y as a symbol using var function.
+
+.. #[Madhu: But is not required]
+::
+ var('y')
+
+Now if you type::
+
+ sin(y)
+
+ sage simply returns the expression .
+
+.. #[Madhu: Why is this line indented? Also full stop. When will you
+ learn? Yes we can correct you. But corrections are for you to
+ learn. If you don't learn from your mistakes, I don't know what
+ to say]
+
+thus now sage treats sin(y) as a symbolic expression . You can use
+this to do a lot of symbolic maths using sage's built-in constants and
+expressions .
+
+.. #[Madhu: "Thus now"? It sounds like Dus and Nou, i.e 10 and 9 in
+ Hindi! Full stop again. "a lot" doesn't mean anything until you
+ quantify it or give examples.]
+
+Try out
+
+.. #[Madhu: "So let us try" sounds better]
+ ::
+
+ var('x,alpha,y,beta') x^2/alpha^2+y^2/beta^2
+
+Similarly , we can define many algebraic and trigonometric expressions
+using sage .
+
+.. #[Madhu: comma again. Show some more examples?]
+
+
+Sage also provides a few built-in constants which are commonly used in
+mathematics .
+
+example : pi,e,oo , Function n gives the numerical values of all these
+ constants.
+
+.. #[Madhu: This doesn't sound like scripts. How will I read this
+ while recording. Also if I were recording I would have read your
+ third constant as Oh-Oh i.e. double O. It took me at least 30
+ seconds to figure out it is infinity]
+
+For instance::
+
+ n(e)
+
+ 2.71828182845905
+
+gives numerical value of e.
+
+If you look into the documentation of n by doing
+
+.. #[Madhu: "documentation of the function "n"?]
+
+::
+ n(<Tab>
+
+You will see what all arguments it can take etc .. It will be very
+helpful if you look at the documentation of all functions introduced
+
+.. #[Madhu: What does etc .. mean in a script?]
+
+Also we can define the no of digits we wish to use in the numerical
+value . For this we have to pass an argument digits. Type
+
+.. #[Madhu: "no of digits"? Also "We wish to obtain" than "we wish to
+ use"?]
+::
+
+ n(pi, digits = 10)
+
+Apart from the constants sage also has a lot of builtin functions like
+sin,cos,sinh,cosh,log,factorial,gamma,exp,arcsin,arccos,arctan etc ...
+lets try some out on the sage notebook.
+
+.. #[Madhu: Here "a lot" makes sense]
+::
+
+ sin(pi/2)
+
+ arctan(oo)
+
+ log(e,e)
+
+
+Given that we have defined variables like x,y etc .. , We can define
+an arbitrary function with desired name in the following way.::
+
+ var('x') function(<tab> {{{ Just to show the documentation
+ extend this line }}} function('f',x)
+
+.. #[Madhu: What will the person recording show in the documentation
+ without a script for it? Please don't assume recorder can cook up
+ things while recording. It is impractical]
+
+Here f is the name of the function and x is the independent variable .
+Now we can define f(x) to be ::
+
+ f(x) = x/2 + sin(x)
+
+Evaluating this function f for the value x=pi returns pi/2.::
+
+ f(pi)
+
+We can also define functions that are not continuous but defined
+piecewise. We will be using a function which is a parabola between 0
+to 1 and a constant from 1 to 2 . type the following as given on the
+screen
+
+.. #[Madhu: Instead of "We will be using ..." how about "Let us define
+ a function ..."]
+::
+
+
+ var('x') h(x)=x^2 g(x)=1 f=Piecewise(<Tab> {{{ Just to show the
+ documentation extend this line }}}
+ f=Piecewise([[(0,1),h(x)],[(1,2),g(x)]],x) f
+
+Checking f at 0.4, 1.4 and 3 :: f(0.4) f(1.4) f(3)
+
+.. #[Madhu: Again this doesn't sound like a script]
+
+for f(3) it raises a value not defined in domain error .
+
+
+Apart from operations on expressions and functions one can also use
+them for series .
+
+.. #[Madhu: I am not able to understand this line. "Use them as
+.. series". Use what as series?]
+
+We first define a function f(n) in the way discussed above.::
+
+ var('n') function('f', n)
+
+.. #[Madhu: Shouldn't this be on 2 separate lines?]
+
+To sum the function for a range of discrete values of n, we use the
+sage function sum.
+
+For a convergent series , f(n)=1/n^2 we can say ::
+
+ var('n') function('f', n)
+
+ f(n) = 1/n^2
+
+ sum(f(n), n, 1, oo)
+
+For the famous Madhava series :: var('n') function('f', n)
+
+.. #[Madhu: What is this? your double colon says it must be code block
+ but where is the indentation and other things. How will the
+ recorder know about it?]
+
+ f(n) = (-1)^(n-1)*1/(2*n - 1)
+
+This series converges to pi/4. It was used by ancient Indians to
+interpret pi.
+
+.. #[Madhu: I am losing the context. Please add something to bring
+ this thing to the context]
+
+For a divergent series, sum would raise a an error 'Sum is
+divergent' ::
+
+ var('n')
+ function('f', n)
+ f(n) = 1/n sum(f(n), n,1, oo)
+
+
+
+
+We can perform simple calculus operation using sage
+
+.. #[Madhu: When you switch to irrelevant topics make sure you use
+ some connectors in English like "Moving on let us see how to
+ perform simple calculus operations using Sage" or something like
+ that]
+For example lets try an expression first ::
+
+ diff(x**2+sin(x),x) 2x+cos(x)
+
+The diff function differentiates an expression or a function . Its
+first argument is expression or function and second argument is the
+independent variable .
+
+.. #[Madhu: Full stop, Full stop, Full stop]
+
+We have already tried an expression now lets try a function ::
+
+ f=exp(x^2)+arcsin(x) diff(f(x),x)
+
+To get a higher order differentiation we need to add an extra argument
+for order ::
+
+ diff(<tab> diff(f(x),x,3)
+
+.. #[Madhu: Please try to be more explicit saying third argument]
+
+in this case it is 3.
+
+
+Just like differentiation of expression you can also integrate them ::
+
+ x = var('x') s = integral(1/(1 + (tan(x))**2),x) s
+
+.. #[Madhu: Two separate lines.]
+
+To find the factors of an expression use the "factor" function
+
+.. #[Madhu: See the diff]
+
+::
+ factor(<tab> y = (x^100 - x^70)*(cos(x)^2 + cos(x)^2*tan(x)^2) f =
+ factor(y)
+
+One can also simplify complicated expression using sage ::
+ f.simplify_full()
+
+This simplifies the expression fully . You can also do simplification
+of just the algebraic part and the trigonometric part ::
+
+ f.simplify_exp() f.simplify_trig()
+
+.. #[Madhu: Separate lines?]
+
+One can also find roots of an equation by using find_root function::
+
+ phi = var('phi') find_root(cos(phi)==sin(phi),0,pi/2)
+
+.. #[Madhu: Separate lines?]
+
+Lets substitute this solution into the equation and see we were
+correct ::
+
+ var('phi') f(phi)=cos(phi)-sin(phi)
+ root=find_root(f(phi)==0,0,pi/2) f.substitute(phi=root)
+
+.. #[Madhu: Separate lines?]
+
+as we can see the solution is almost equal to zero .
+
+.. #[Madhu: So what?]
+
+We can also define symbolic matrices ::
+
+
+
+ var('a,b,c,d') A=matrix([[a,1,0],[0,b,0],[0,c,d]]) A
+
+.. #[Madhu: Why don't you break the lines?]
+
+Now lets do some of the matrix operations on this matrix
+
+.. #[Madhu: Why don't you break the lines? Also how do you connect
+ this up? Use some transformation keywords in English]
+::
+ A.det() A.inverse()
+
+.. #[Madhu: Why don't you break the lines?]
+
+You can do ::
+
+ A.<Tab>
+
+To see what all operations are available
+
+.. #[Madhu: Sounds very abrupt]
+
+{{{ Part of the notebook with summary }}}
+
+So in this tutorial we learnt how to
+
+
+We learnt about defining symbolic expression and functions .
+And some built-in constants and functions .
+Getting value of built-in constants using n function.
+Using Tab to see the documentation.
+Also we learnt how to sum a series using sum function.
+diff() and integrate() for calculus operations .
+Finding roots , factors and simplifying expression using find_root(),
+factor() , simplify_full, simplify_exp , simplify_trig .
+Substituting values in expression using substitute function.
+And finally creating symbolic matrices and performing operation on them .
+
+.. #[Madhu: See what Nishanth is doing. He has written this as
+ points. So easy to read out while recording. You may want to
+ reorganize like that]
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/symbolics/slides.tex Wed Oct 13 17:32:59 2010 +0530
@@ -0,0 +1,106 @@
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%Tutorial slides on Python.
+%
+% Author: FOSSEE
+% Copyright (c) 2009, FOSSEE, IIT Bombay
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+\documentclass[14pt,compress]{beamer}
+%\documentclass[draft]{beamer}
+%\documentclass[compress,handout]{beamer}
+%\usepackage{pgfpages}
+%\pgfpagesuselayout{2 on 1}[a4paper,border shrink=5mm]
+
+% Modified from: generic-ornate-15min-45min.de.tex
+\mode<presentation>
+{
+ \usetheme{Warsaw}
+ \useoutertheme{infolines}
+ \setbeamercovered{transparent}
+}
+
+\usepackage[english]{babel}
+\usepackage[latin1]{inputenc}
+%\usepackage{times}
+\usepackage[T1]{fontenc}
+
+\usepackage{ae,aecompl}
+\usepackage{mathpazo,courier,euler}
+\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}
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% Macros
+\setbeamercolor{emphbar}{bg=blue!20, fg=black}
+\newcommand{\emphbar}[1]
+{\begin{beamercolorbox}[rounded=true]{emphbar}
+ {#1}
+ \end{beamercolorbox}
+}
+\newcounter{time}
+\setcounter{time}{0}
+\newcommand{\inctime}[1]{\addtocounter{time}{#1}{\tiny \thetime\ m}}
+
+\newcommand{\typ}[1]{\lstinline{#1}}
+
+\newcommand{\kwrd}[1]{ \texttt{\textbf{\color{blue}{#1}}} }
+
+% Title page
+\title{Your Title Here}
+
+\author[FOSSEE] {FOSSEE}
+
+\institute[IIT Bombay] {Department of Aerospace Engineering\\IIT Bombay}
+\date{}
+
+% DOCUMENT STARTS
+\begin{document}
+
+\begin{frame}
+ \maketitle
+\end{frame}
+
+\begin{frame}[fragile]
+ \frametitle{Outline}
+ \begin{itemize}
+ \item
+ \end{itemize}
+\end{frame}
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%% All other slides here. %%
+%% The same slides will be used in a classroom setting. %%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+\begin{frame}[fragile]
+ \frametitle{Summary}
+ \begin{itemize}
+ \item
+ \end{itemize}
+\end{frame}
+
+\begin{frame}
+ \frametitle{Thank you!}
+ \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}