st-scripts: comparison basic-data-type/script.rst

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-:be96dc6c9743
+:68813d8d80fb
 .. Author              : Amit Sethi
 Internal Reviewer   :
 External Reviewer   :
 Checklist OK?       : <put date stamp here, if OK> [2010-10-05]
-.. #[Puneeth: Fill in pre-requisites.]
 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
 * Numbers
 * Boolean
 * Sequence
 * Operators in Python
 * Arithmetic Operators
 * Boolean Operators
-* Manipulating Sequence datatypes
+* Python Sequence Data types
+* list
-.. #[Puneeth: Use double colon only for code blocks.]
+* string
-.. #[Puneeth: include more details in the outline.]
+* tuple
-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 }}}
+{{{ A slide to make a memory note of the different datatypes }}}
 These are:
 * int
 * float
 * complex
-.. #[Puneeth: Changed to  int, float and complex.]
-.. #[Puneeth: Loss of consistency. You talk of built-in data types, but
-.. then you were calling them integers, floats and complex. Clean up
-.. required.]
 Lets first talk about int. ::
 a = 13
 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
+This means that a is a type of int. There are lot of functions associated
-means that there are various functions that this variable has to manipulate
+with the int datatype, to manipulate it in different ways. These can be
-it different ways. You can explore these by doing,
+explored by doing, ::
 a.<Tab>
-.. #[Puneeth: Why are we suddenly talking of limits?
+*int* datatype can hold integers of any size lets see this by an example.
-.. Something like this would be better.
+::
-.. int data-type can hold integers of any size. for example - ]
-*int* datatype can hold integers of any size lets see this by example.
 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
+not complain. This is because python's int data-type can hold integers of any
-put a capital L at the end. Now if you check the type of this variable b,
+size.
-::
-type(b)
-<type 'long'>
-The reason for this is that python recognizes large integer numbers by the
-data type long. However long type and int type share there functions
-and properties.
-.. #[Puneeth: again, the clean-up that I talked of above. Decide if you are
-.. talking about the different type of numbers and the datatypes that are
-.. used to represent them or if you are talking of the data-types and what
-.. kind of numbers they represent. I think you should choose the former.]
 Let us now look at the float data-type.
 Decimal numbers in python are represented by the float data-type ::
 p = 3.141592
 p
-If you notice the value of output of p isn't exactly equal to p. This is
+If you notice the value of output of ``p`` isn't exactly equal to ``p``.
-because computer saves floating point values in a specific format. There is
+This is because computer saves floating point values in a specific format.
-always an aproximationation. This is why we should never rely on equality
+There is always an approximation. This is why we should never rely on
-of floating point numbers in a program.
+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 ::
+have a lot of functions specific to them. Let us look at these ::
 c.<Tab>
 Lets try some of them ::
 We can get the absolute value using the function ::
 abs(c)
+Following is are exercises that you must do.
-{{ Slide for memory aid }}
+%% %% Find the absolute value of 3+4j
+::
+abs(3+4j)
+%% %% What is the datatype of number 999999999999999999? Is it
+not int?
+::
+Long
+Big integers are internally stored in python
+as Long datatype.
+Please, pause the video here. Do the exercises and then continue.
+{{ Slide for showing Boolean datatypes }}
 Python also has Boolean as a built-in type.
 Try it out just type ::
 f and t
 The results are self explanatory.
-.. #[Puneeth: Why does booleans bring us to precedence? I don't see the
-.. connection. Am I missing something?]
 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.::
 a=False
 b=True
 c=True
-.. #[Puneeth: Consistency. In[]: is not present at other places.]
 To check how precedence changes with parenthesis, we will try two
 expressions and their evaluation.
 one ::
 Let's now look at some operators available in Python to manipulate
 these data types.
-.. #[Puneeth: A mention of other operators would be good? Starting
-.. with % and ** is a bit weird.]
 Python uses '+' for addition ::
 23 + 74
 '-' for subtraction ::
 23 - 56
 '*' for multiplication ::
 45*76
 '/' for division ::
 384/16
+8/3
-'%' for modulo operation ::
+8.0/3
+When we did 8/3 the first case results in am integer
+output as both the operands are integer however when
+8.0/3 is used the answer is float as one of the operands is
+float.
+'%' for modulo operation ::
 87 % 6
 and two stars for a exponent. ::
 is same as ::
 a=a/23
+Following is are exercises that you must do.
+%% %% Using python find sqaure root of 3?
+%% %% Is 3**1/2 and 3**0.5 same
+Please, pause the video here. Do the exercises and then continue.
+::
+3**0.5
+::
+No,One gives an int answer and the other float
 Lets now discuss sequence data types in Python. Sequence data types
 are those in which elements are kept in a sequential order and all the
-elements accessed using index numbers.
+elements are accessed using index numbers.
-.. #[Puneeth: fix the last sentence - it sounds incomplete]
+{{{ slide introducing sequence datatype }}}
-{{{ slide for memory aid }}}
 The sequence datatypes in Python are ::
 * list
 * string
 We can have a list something like ::
 var_list = [1, 1.2, [1,2]]
 var_list
-.. #[Puneeth: some continuity, when jumping to strings?]
 Lets look at another sequence data type, strings
 type ::
 greeting_string="hello"
 greeting_string is now a string variable with the value "hello"
-{{{ Memory Aid Slide }}}
+{{{ All the different types of strings shown }}}
 Python strings can actually be defined in three different ways ::
 k='Single quote'
 l="Let's see how to include a single quote"
 m='''"Let's see how to include both"'''
-.. #[Puneeth: Contain's? That's not a word!]
 As you can see, single quotes are used as delimiters usually.
-.. #[Puneeth: Thus?]
 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.
 Find maximum using max function and minimum using min::
 max(num_tuple)
 min(greeting_string)
-Get a sorted list and reversed list using sorted and reversed function ::
+Get a sorted list  ::
 sorted(num_list)
-reversed(greeting_string)
-As a consequence of there order we can access a group of elements of sequence,
+As a consequence of their order, we can access a group of elements in a
-together. This is called slicing and striding.
+sequence, together. This is called slicing and striding.
-.. #[Puneeth: Fix the sentence above. ]
+First lets discuss Slicing,
-First Slicing
 Given a list ::
 j=[1,2,3,4,5,6]
 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
+Following is an (are) exercise(s) that you must do.
+%% %% Check if 3 is an element of the list [1,7,5,3,4]. In case
+it is change it to 21.
+::
+l=[1,7,5,3,4]
+3 in l
+l[3]=21
+l
+%% %% Convert the string "Elizabeth is queen of england" to
+"Elizabeth is queen"
+::
+s="Elizabeth is queen of england"
+stemp=s.split()
+' '.join(stemp[:3])
+Please, pause the video here. Do the exercise(s) and then continue.
+This brings us to the end of the 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.

changeset 457	68813d8d80fb
parent 412	bb45826efe74