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Python Tutorial 3:DataType In Python

 
Python Data Types

 §  Data types specify the types of values that can be stored to the variable.

 §  Python variables do not need an explicit declaration to reserve memory space. 

 §  The declaration happens automatically when you assign a value to a variable.

 §  Python contains the following inbuilt data types
1. int
2. float
3.complex
4.bool
5.str
6.bytes
7.bytearray
8.range
9.list
10.tuple
11.set
12.frozenset
13.dict
14.None


 §  Variables are fundamental to all programming languages.
 §  They are data items that represent a memory storage location in the computer.
 §  Variables are containers that hold data such as numbers and strings.
 §   Variables have a name, a type, and a value.
num = 5;                                     // name is "num", value is 5, type is numeric
friend = "Peter";                       // name is "friend", value is "Peter",   type is string

ü Python is a dynamic type language, means you don't need to specify type of the  
   variable because it is dynamically used by python.

ü The type of variable will be decided when we assign the value to the variable.

For example:-
a= 40;              //holding number  
b= "Rahul";     //holding string 

Numbers data type
 §  Numbers have four types in Python. Int, float, complex, and long.

                        int                   for integral values
               float               for decimal values
                long                for long values
               complex          for complex values

int_num = 10          #int value 
float_num = 10.2      #float value 
complex_num = 3.14j   #complex value 
long_num = 1234567L   #long value

§  Integral values can be represented in different form.

1.     Decimal form
2.     Binary Form
3.     Octal form
4.     Hexa decimal
  
1. Decimal (Base-10)

§  Allowed digits- (0 to 9)

E.g.: -

>>> a=7898
>>> a

7898

2. Binary (Base-2)
§  Allowed digits - (0 and 1)
§   Represent in Binary Form prefix with 0b or 0B

E.g.: -
>>> a=1111
>>> a
1111
>>> a=0b1111
>>> a
15

>>> a=0B1111
>>> a
15

3. Octal (Base- 8)

§  Allowed digits - 0 to 7 
§  Represent in Octal Form prefix with 0o or 0O

a=0o57
b=0O20
print(a)
print(b)

Output
47
16

Hexa Decimal Form (Base-16):

§  The allowed digits are:  0 to 9, a-f (both lower and upper cases are allowed) Literal value should be prefixed with 0x or 0X

Eg:    a =0XFACE    a=0XBeef    a =0XBeer

Note: -

Being a programmer, we can specify literal values in decimal, binary, octal and hexa decimal forms. But PVM will always provide values only in decimal form.

 a=10 
b=0o10 
c=0X10 
d=0B10 
print(a)#10 
print(b)#8 
print(c)#16
print(d)#2 

 

 §  To convert decimal to binary or to octal or to hexadecimal


 §  Python provide the following in-built functions for base conversions

bin(x) 
oct(x)
hex(x)

bin(x):  
  §  We can use bin() to convert from any base to binary

print('Deciaml to Binary = ',bin(7)) #output will be '0b111' 
print('Octal to Binary = ',bin(0o123)) #output will be '0b1010011' 
print('Hexadecimal to Binary = ',bin(0x10)) #output will be '0b10000'

oct(x):

  §  We can use oct() to convert from any base to octal

      print('Deciaml to Octal = ', oct(20)) #output will be '0o24' 
      print(Binary to Octal = ', oct(0b11)) #output will be '0o3'
      print('Hexadecimal to Octal = ', oct(0x6A)) #output will be '0o152'

hex(x)
  §  We can use hex() to convert from any base to hexa decimal.

  print('Deciaml to Hexadecimal = ', oct(20)) #output will be '0o24' 
  print('Octal to Hexadecimal = ', oct(0b11)) #output will be '0o3'
  print('Binaryl to Hexadecimal = ', oct(0x6A)) #output will be '0o152'

provide value should be int type


print('Deciaml to Binary = ',bin(15))
print('Deciaml to Octal = ',oct(15))
print('Deciaml to Hexadecimal = ',hex(15))
print('Octal to Binary = ',bin(0o777))
print('Hexadecimal to Binary =',bin(0X123))
output
Deciaml to Binary =  0b1111
Deciaml to Octal =  0o17
Deciaml to Hexadecimal =  0xf
Octal to Binary =  0b111111111
Hexadecimal to Binary = 0b100100011


float data Type:

§  Holds floating precision numbers and it’s accurate up to 15 decimal places.

price:123.45
salary:46778.89

f=123.45
print(f) #output will be 123.45  
print(type(f)) #output will be <class 'float'>

Note:-
§There is no way to specify floating point value in the formofBinary,octal,hexadecimal form.
  
§  For floating point value exponential form is allowed.
§  Scientific notation is another way to write a number. In scientific notation, the letter E is used to mean "10 to the power of."

f=1.5e3
print(f)  #output will be 1500.0
print(type(f)) #output will be <class 'float'>

complex data type:

 §  complex- holds complex numbers.
 §  Complex numbers are specified as <real part>+<imaginary part>j

a+bj

a==> real
b==> imaginary

10+20j
10.5+23.4j
c=2+4j
print(c)  #output will be (2+4j)
print(type(c)) #output will be <class 'complex'>
c=2.6+4.3j
print(c) #output will be (2.6+4.3j)

c=2.6+4.3i

print(c)

c=2.6+4.3i
         ^
SyntaxError: invalid syntax


c=2.6+j4.3
print(c)
c=2.6+j4.3

         ^
SyntaxError: invalid syntax




c1=2+4.3j
print(c1)  #output will be (2+4.3j)


c2=0b11+2j
print(c2)  #output will be (3+2j)

c3=0o11+2j
print(c3)  #output will be (9+2j)

c4=2+ob11j
print(c4)

c4=2+ob11j
NameError: name 'ob11j' is not defined

a=10+20j
b=20+30j
print(a+b) #output will be (30+50j)
print(a-b) #output will be (-10-10j)
print(a*b) #output will be (-400+700j)

a=50+60j
print('Complex Number = ',a)
print('Real Part = ',a.real)
print('Imag part= ',a.imag)
Output:
Complex Number =  (50+60j)
Real Part =  50.0
Imag part=  60.0


Boolean data type

§  To represent Boolean value python provides bool data type.
bool:
§  only allowed is- True/False
True - 1
False- 0
True+True = 2
True+False = 1

>>>print(True+True)
   2
>>>print(False+False)
   0
>>>print(True+False)
   1
>>>print(True/True)
   1.0
>>>print(True/False)
   print(True/False)
ZeroDivisionError: division by zero





String Data Type

str

§  String are identified as a contiguous set of characters represented in the  
    quotation marks.

§  Python allows for either pairs of single or double quotes.

§  Strings are immutable sequence data type.

§  immutable means whose content can't be modified. If we are trying to  
   modified with those modification a new object is created and existing 
   object will not be modified.



single quotes ==> str

double quotes ==> String

triple quotes ==> multi line string literals



# Python Program for 
# Creation of String

# Creating a String 
# with single Quotes

String1 = 'Welcome to the Gravity4Tech'
print("String with the use of Single Quotes: "
print(String1) 
print(type(String1))

# Creating a String 
# with double Quotes

String1 = "I'm a Gravity4Tech"
print("\nString with the use of Double Quotes: "
print(String1) 
print(type(String1))

# Creating a String 
# with triple Quotes 
String1 = '''I'm a Gravity4Tech and I live in a world of "Gravity"'''
print("\nString with the use of Triple Quotes: "
print(String1) 
print(type(String1)) 

# Creating String with triple 
# Quotes allows multiple lines 
String1 = '''Gravity 
            For 
            Tech'''
print("\nCreating a multiline String: "
print(String1)

output:
String with the use of Single Quotes: 
Welcome to the Gravity4Tech
<class 'str'>

String with the use of Double Quotes: 
I'm a Gravity4Tech
<class 'str'>

String with the use of Triple Quotes: 
I'm a Gravity4Tech and I live in a world of "Gravity"
<class 'str'>

Creating a multiline String: 
Gravity 
            For 
            Tech



Note:-
  |- In python both positive and negative indexing is possible.
s='python'
print(s)             #output will be whole string. python
print(s[0])          #output will be second character. y
print(s[-1])         #output will be last character. N
print(s[10])

print(s[10])
IndexError: string index out of range


Slice Operator:

s='python'

s[begin:end]

|- returns substring from begin index to end-1 index

|- begin index is optional.

   e.g- s[:4]==>pyth

|- end index is optional.

  e.g- s[1:]==> ython

|- begin index and end index both are optional

   e.g- s[:]==> python



s='python'

s='python'

print(s)               #output will be whole string. python


a_str = 'Hello World'
print(a_str)         #output will be whole string. Hello World
print(a_str[0])      #output will be first character. H
print(a_str[0:5])    #output will be first five characters. Hello

s='python'
print(s)               #output will be whole string. python

print(s[100])

print(s[100])
IndexError: string index out of range

print(s[1:100])               #output will be . ython
|- if index is not available then until last index is included.



Note:-
  |- char data type is not available.
          char==> str type only

Testing the type of variables

 §  In python, we can check the datatype of an object using the built-in function type.

c='a'
print(type(c))
output
<class 'str'>

a=122
print(type(a))
output
<class 'int'>

 §  long data type in python 2 is available but in python3 long data type is not available

Mutable and Immutable Data Types

 §  An object is called mutable if it can be changed. For example, when you pass a list to some function, the list can be changed:

 §  An object is called immutable if it cannot be changed in any way. For example, integers are immutable, since there's no way to change them:

 §  Data types whose instances are mutable are called mutable data types, and similarly for immutable objects and datatypes.

Examples of immutable Data Types:

       ·   int
       ·   long
       ·   float
       ·    complex
       ·    str
       ·   bytes
       ·   tuple
       ·    frozenset

Examples of mutable Data Types:

      ·        bytearray 
      ·      list 
      ·        set 
      ·        dict

Note:-

 §  These five are fundamental data types


·        int

·        float

·        complex

·        bool

·        str

 §  In Python, we can represent char values also by using str type and explicitly char type is not available.

   ch='a'
print(ch)
print(type(ch))
#The Output Will be
a
<class 'str'>

 §  long Data Type is available in Python2 but not in Python3. In Python3 long values also we can represent by using int type only.






Python Tutorial 2:Keywords In Python


Keywords in Python

 §  Reserved word is those word which already define and who’s meaning already known by compiler.

 §  Keywords are the reserved words in Python which convey special meaning to the compiler to perform specific task.

 §  Keywords are the reserved words in Python. We cannot use a keyword as variable name, function name or any other identifier.

 §  There are 33 reserved words in Python.

  True, False, None
  and, or, not, is
  if,else, elif
  while, for, break,continue,return,in,yield
  try,except,finally,raise,assert
  import, from, as, class, def, pass, global, nonlocal5, lambda,del,with 
Note:-
1. All reserved words contains only alphabet symbols
2. except first 3(True, False, None) remaining all in    lowercase.

  e:g-

a=True  //valid
a=true  //invalid
a=none  //invalid
a=None  //valid

>>> import keyword
>>> keyword.kwlist

['False', 'None', 'True', 'and', 'as', 'assert', 'async', 'await', 'break', 'class', 'continue', 'def', 'del', 'elif', 'else', 'except', 'finally', 'for', 'from', 'global', 'if', 'import', 'in', 'is', 'lambda', 'nonlocal', 'not', 'or', 'pass', 'raise', 'return', 'try', 'while', 'with', 'yield']

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