1. python programming

• Python is a general-purpose interpreted, interactive, object-oriented, and high-
level programming language.
• It was created by Guido van Rossum during 1985- 1990 at National Research
Institute for Mathematics and Computer Science in the Netherlands.
• Python is designed to be highly readable.
• It uses English keywords frequently where as other languages use punctuation,
and it has fewer syntactical constructions than other languages.
• Python is Interpreted − Python is processed at runtime by the interpreter. You
do not need to compile your program before executing it. This is similar to PERL
and PHP.
• Python is Interactive − You can actually sit at a Python prompt and interact with
the interpreter directly to write your programs.
• Python is Object-Oriented − Python supports Object-Oriented style or
technique of programming that encapsulates code within objects.
• Python is a Beginner's Language − Python is a great language for the beginner-
level programmers and supports the development of a wide range of
applications from simple text processing to WWW browsers to games.
INTRODUCTION

Easy-to-learn − Python has few keywords, simple structure, and a clearly defined
syntax. This allows the student to pick up the language quickly.
Easy-to-read − Python code is more clearly defined and visible to the eyes.
Easy-to-maintain − Python's source code is fairly easy-to-maintain.
A broad standard library − Python's bulk of the library is very portable and cross-
platform compatible on UNIX, Windows, and Macintosh.
Interactive Mode − Python has support for an interactive mode which allows
interactive testing and debugging of snippets of code.
Portable − Python can run on a wide variety of hardware platforms and has the
same interface on all platforms.
Extendable − You can add low-level modules to the Python interpreter. These
modules enable programmers to add to or customize their tools to be more
efficient.
Databases − Python provides interfaces to all major commercial databases.
GUI Programming − Python supports GUI applications that can be created and
ported to many system calls, libraries and windows systems, such as Windows
MFC, Macintosh, and the X Window system of Unix.
Scalable − Python provides a better structure and support for large programs than
shell scripting.
Python Features

Invoking the interpreter without passing a script file as a parameter brings up the
following prompt −
$ pythonPython 2.4.3 (#1, Nov 11 2010, 13:34:43) [GCC 4.1.2 20080704 (Red Hat
4.1.2-48)] on linux2 Type "help", "copyright", "credits" or "license" for more
information.>>>
Type the following text at the Python prompt and press the Enter −
>>> print "Hello, Python!“
If you are running new version of Python, then you would need to use print
statement with parenthesis as in print ("Hello, Python!")
However in Python version 2.4.3, this produces the following result −
Hello, Python!
First Python Program

• A Python identifier is a name used to identify a variable, function, class, module or
other object.
• An identifier starts with a letter A to Z or a to z or an underscore (_) followed by
zero or more letters, underscores and digits (0 to 9).
• Python does not allow punctuation characters such as @, $, and % within
identifiers. Python is a case sensitive programming language.
Thus, Manpower and manpower are two different identifiers in Python.
Python Identifiers
Reserved Words
• These are reserved words and you cannot use them as constant or variable or
any other identifier names.
• All the Python keywords contain lowercase letters only.
• Eg: and , assert , break , class, continue

Quotation in Python
Python accepts single ('), double (") and triple (''' or """) quotes to denote string
literals, as long as the same type of quote starts and ends the string. The triple
quotes are used to span the string across multiple lines. For example, all the
following are legal −
word = 'word'
sentence = "This is a sentence."
paragraph = """This is a paragraph. It is
made up of multiple lines and sentences."""
Comments in Python
A hash sign (#) that is not inside a string literal begins a comment. All characters
after the # and up to the end of the physical line are part of the comment and the
Python interpreter ignores them. Following triple-quoted string is also ignored by
Python interpreter and can be used as a multiline comments:
'''
This is a multiline
comment.
'''

Python - Variable Types
• Variables are nothing but reserved memory locations to store values.
• This means that when you create a variable you reserve some space in
memory. Based on the data type of a variable, the interpreter allocates
memory and decides what can be stored in the reserved memory.
• Therefore, by assigning different data types to variables, you can store integers,
decimals or characters in these variables.
Assigning Values to Variables
• Python variables do not need explicit declaration to reserve memory space. The
declaration happens automatically when you assign a value to a variable. The equal
sign (=) is used to assign values to variables.
• The operand to the left of the = operator is the name of the variable and the operand
to the right of the = operator is the value stored in the variable.
Multiple Assignment
• Python allows you to assign a single value to several variables simultaneously. For
example − a = b = c = 1
• Here, an integer object is created with the value 1, and all three variables are assigned
to the same memory location. You can also assign multiple objects to multiple
variables. For example − a,b,c = 1,2,"john"
• Here, two integer objects with values 1 and 2 are assigned to variables a and b
respectively, and one string object with the value "john" is assigned to the variable c.

Standard Data Types
Python has five standard data types −
1) Numbers
2) String
3) List
4) Tuple
5) Dictionary
Python Numbers
• Number data types store numeric values. Number objects are created when you
assign a value to them. For example : var1 = 1var2 = 10
• You can also delete the reference to a number object by using the del statement. The
syntax of the del statement is: del var1[,var2[,var3[....,varN]]]]
• You can delete a single object or multiple objects by using the del statement. For
example : del var
del var_a, var_b
Python supports four different numerical types −
1. int (signed integers)
2. long (long integers, they can also be represented in octal and hexadecimal)
3. float (floating point real values)
4. complex (complex numbers)

 Strings in Python are identified as a contiguous set of characters represented in the
quotation marks.
 Python allows for either pairs of single or double quotes.
 Subsets of strings can be taken using the slice operator ([ ] and [:] ) with indexes
starting at 0 in the beginning of the string and working their way from -1 at the end.
 The plus (+) sign is the string concatenation operator and the asterisk (*) is the
repetition operator.
For example:
str = 'Hello World!‘
print (str) # Prints complete string
print (str[0]) # Prints first character of the string
Print( str[2:5]) # Prints characters starting from 3rd to 5th
Print( str[2:]) # Prints string starting from 3rd character
print (str * 2) # Prints string two times
Print( str + "TEST”) # Prints concatenated string
Output
Hello World!
H
llo
llo World!
Hello World!Hello World!
Hello World!TEST
Python Strings

 Lists are the most versatile of Python's compound data types.
 A list contains items separated by commas and enclosed within square brackets
([]).
 To some extent, lists are similar to arrays in C.
 One difference between them is that all the items belonging to a list can be of
different data type.
 The values stored in a list can be accessed using the slice operator ([ ] and [:]) with
indexes starting at 0 in the beginning of the list and working their way to end -1.
 The plus (+) sign is the list concatenation operator, and the asterisk (*) is the
repetition operator.
Python Lists

For Eg:
list = [ 'abcd', 786 , 2.23, 'john', 70.2 ]
tinylist = [123, 'john']
print(list) # Prints complete list
print (list[0]) # Prints first element of the list
Print( list[1:3] # Prints elements starting from 2nd till 3rd
print (list[2:]) # Prints elements starting from 3rd element
print (tinylist * 2) # Prints list two times
print (list + tinylist) # Prints concatenated lists
Output:
['abcd', 786, 2.23, 'john', 70.2]
abcd
[786, 2.23]
[2.23, 'john', 70.2]
[123, 'john', 123, 'john']
['abcd', 786, 2.23, 'john', 70.2, 123, 'john']
Python Lists

• A tuple is another sequence data type that is similar to the list.
• A tuple consists of a number of values separated by commas.
• Unlike lists, however, tuples are enclosed within parentheses.
• The main differences between lists and tuples are: Lists are enclosed in brackets ( [ ]
) and their elements and size can be changed, while tuples are enclosed in
parentheses ( ( ) ) and cannot be updated.
• Tuples can be thought of as read-only lists.
Python Tuples

For example :
tuple = ( 'abcd', 786 , 2.23, 'john', 70.2 )
tinytuple = (123, 'john')
Print(tuple) # Prints complete list
print (tuple[0]) # Prints first element of the list
Print( tuple[1:3]) # Prints elements starting from 2nd till 3rd
Print( tuple[2:]) # Prints elements starting from 3rd element
print (tinytuple * 2) # Prints list two times
Print( tuple + tinytuple ) # Prints concatenated lists
Output:
('abcd', 786, 2.23, 'john', 70.2)
abcd
(786, 2.23)
(2.23, 'john', 70.2)
(123, 'john', 123, 'john')
('abcd', 786, 2.23, 'john', 70.2, 123, 'john')
Python Tuples

• Python's dictionaries are kind of hash table type.
• They work like associative arrays or hashes found in Perl and consist of key-value
pairs. A dictionary key can be of any data type, but are usually numbers or strings.
Values, on the other hand, can be any arbitrary Python object.
• Dictionaries are enclosed by curly braces ({ }) and values can be assigned and
accessed using square braces ([]).
• Dictionaries are simply unordered.
Python Dictionary

For example −
dict = {}
dict['one'] = "This is one"
dict[2] = "This is two"
tinydict = {'name': 'john','code':6734, 'dept': 'sales'}
print(dict['one']) # Prints value for 'one' key
print (dict[2]) # Prints value for 2 key
print (tinydict) # Prints complete dictionary
print (tinydict.keys()) # Prints all the keys
print (tinydict.values()) # Prints all the values
This produce the following result −
This is one
This is two
{'name': 'john', 'code': 6734, 'dept': 'sales'}
dict_keys(['name', 'code', 'dept'])
dict_values(['john', 6734, 'sales'])
Python Dictionary

Operators are the constructs which can manipulate the value of operands. Consider the
expression 4 + 5 = 9. Here, 4 and 5 are called operands and + is called operator.
Types of Operators
Python language supports the following types of operators.
 Arithmetic Operators
 Comparison (Relational) Operators
 Assignment Operators
 Logical Operators
 Bitwise Operators
 Membership Operators
 Identity Operators
Python - Basic Operators

Python - Basic Operators
Operator Description Example
+ Addition Adds values on either side of the operator. a + b = 30
- Subtraction Subtracts right hand operand from left hand
operand.
a – b = -10
*
Multiplication
Multiplies values on either side of the operator a * b = 200
/ Division Divides left hand operand by right hand operand b / a = 2
% Modulus Divides left hand operand by right hand operand and
returns remainder
b % a = 0
** Exponent Performs exponential (power) calculation on
operators
a**b =10 to the power
20
// Floor Division - The division of operands where the
result is the quotient in which the digits after the
decimal point are removed. But if one of the
operands is negative, the result is floored, i.e.,
rounded away from zero (towards negative infinity)
−
9//2 = 4 and 9.0//2.0 =
4.0, -11//3 = -4, -
11.0//3 = -4.0

 The print() function prints the specified message to the screen, or other
standard output device.
 The message can be a string, or any other object, the object will be converted
into a string before written to the screen.
print()
Eg:
x = ("apple", "banana", "cherry")
print(x)
O/p: ('apple', 'banana', 'cherry')
print("Hello", "how are you?", sep=" --- ")
O/p: Hello --- how are you?

 This function first takes the input from the user and then evaluates the
expression, which means Python automatically identifies whether user entered
a string or a number or list.
 If the input provided is not correct then either syntax error or exception is
raised by python.
input()
Eg:
val = input("Enter your value: ")
print(val)
O/p:

Decision-Making In Python
• Decisions are questions with answers that are
either true or false (Boolean) e.g., Is it true that
the variable ‘num’ is positive?
• The program branches one way or another
depending upon the answer to the question (the
result of the Boolean expression).
• Decision making/branching constructs
(mechanisms) in Python:
– If
– If-else
– If-elif-else

Decision Making With An ‘If’
Question? Execute a statement
or statements
True
False
Remainder of
the program

The ‘If’ Construct
• Decision making: checking if a condition is
true (in which case something should be done).
• Format:
(General format)
if (Boolean expression):
body
(Specific structure)
if (operand relational operator operand):
body
Boolean expression
Note: Indenting the body
is mandatory!

• Body of the if consists of multiple statements
• Format:
if (Boolean expression):
s1
s2
:
sn
sn+1
Body
If (Compound Body)
End of the indenting denotes the end
of decision-making

• Decision making: checking if a condition is true (in which case something
should be done) but also reacting if the condition is not true (false).
• Format:
if (operand relational operator operand):
body of 'if'
else:
body of 'else'
additional statements
The If-Else Construct

If-Else Construct (2)
• Example:
if (age < 18):
print(“Not an adult”)
else:
print(“Adult”)
print(“Tell me more about yourself”)

Decision Making With If-Elif-Else
Question?
True Statement or
statements
False
Question?
Remainder of
the program
Statement or
statements
False
True Statement or
statements

Multiple If-Elif-Else: Mutually
Exclusive Conditions
• Format:
if (Boolean expression 1):
body 1
elif (Boolean expression 2):
body 2
:
else
body n
statements after the conditions

Programs using if statement
• Program to check for an even number
• Program to check eligibility to vote
• Program to display biggest of 3 numbers
• Program to check whether the accepted
number is a +ve , -ve or zero
• Program to check whether a number is
divisible by 5 and 7 or not.

Iteration
• Iteration allows us to write programs that
repeat some code over and over again
• The easiest form of iteration is using a while
loop
• While loops read a lot like English (like almost
everything in Python)
– While counter is greater than 0, execute some
code
– While user guess does not equal my number, keep
asking for a new number

While Loop
• While loops are like if, elif, and else statements
in that only the indented code is part of the
loop
– Be careful with indentation
• Like if and elif statements, while loops must
check to see if some condition is true
– While it’s true, execute some code
– When it’s not true, exit the loop

Simple While Loop Example
• Let’s write a while loop that prints the
numbers from 1 to 10
i = 1 #initialize i 1
while i<=10: #execute the code in the loop
print(i) #until i >10
i = i +1 #increment i
print("all done!")

Another While Loop Example
count =1
num =3
while count<5:
print(num*count)
count = count+1
*this prints 3, 6, 9, 12

Programs using While Loop
• Program to display numbers from 1 to n
• Program to display the even numbers till n
• Program to display factorial of a number
• Program to check for a prime number
• Program to find the sum of squares of
numbers till n

The for Loop
for name in range(max):
statements
– Repeats for values 0 (inclusive) to max (exclusive)
for i in range(5):
print(i)
0
1
2
3
4

for Loop Variations
for name in range(min, max):
statements
for name in range(min, max, step):
statements
– Can specify a minimum other than 0, and a step
other than 1 for i in range(2, 6):
print(i)
2
3
4
5
for i in range(15, 0, -5):
print(i)
15
10
5

1. python programming

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