PYTHON

data type

[0]
In computer science and computer programming, a data type or simply type is
anattribute of data which tells the compiler or interpreter how the 
programmer intends to use the data. Most programming languages support basic
data types of integer numbers (of varying sizes), floating-point numbers 
(which approximate real numbers), characters and Booleans. A data type 
constrains the values that an expression, such as a variable or a function, 
might take. This data type defines the operations that can be done on the
data, the meaning of the data, and the way values of that type can be
stored. A data type provides a set of values from which an expression 
(i.e. variable, function, etc.) may take its values.


[1]
Data types are used within type systems, which offer various ways of
defining, implementing, and using them. Different type systems ensure varying
degrees of type safety.

Almost all programming languages explicitly include the notion of data type,
though different languages may use different terminology.

Common data types include:

Integer
Floating-point number
Character
String
Boolean

data types

#simple intrest in python
P=float(input('principle amount:'))
R=float(input('rate:'))
T=int(input('Time:'))
SI=(P*R*T)/100
print('simple intrest=',SI)
#output:
principle amount:
rate:
Time:
simple intrest=
_____________________________________________________________________________

what are the data types

• number(num) - whole numbers up to num digits
• number(num,num2) - num whole numbers up to num2 decimals
• char(num) - fixed length character/string
• varchar2(num) - used for varying length data
• date - full date
• currency - used for prices 

data type

[0]
A data type, in programming, is a classification that specifies which type of 
value a variable has and what type of mathematical, relational or logical 
operations can be applied to it without causing an error.

[1]
In computer science and computer programming, a data type or simply type is an 
attribute of data which tells the compiler or interpreter how the programmer 
intends to use the data. Most programming languages support basic data types
of integer numbers (of varying sizes), floating-point numbers (which 
approximate real numbers), characters and Booleans. A data type constrains the 
values that an expression, such as a variable or a function, might take. This
data type defines the operations that can be done on the data, the meaning of 
the data, and the way values of that type can be stored. A data type provides
a set of values from which an expression (i.e. variable, function, etc.) may
take its values.

data types

short int 
	2 
 	-32,768 to 32,767 
 	%hd 
 
unsigned short int 
 	2 
 	0 to 65,535 
 	%hu 
 
unsigned int 
 	4 
 	0 to 4,294,967,295 
 	%u 
 
int 
 	4 
 	-2,147,483,648 to 2,147,483,647 
 	%d 
 
long int 
 	4 
 	-2,147,483,648 to 2,147,483,647 
 	%ld 
 
unsigned long int 
 	4 
 	0 to 4,294,967,295 
 	%lu 
 
long long int 
 	8 
 	-(2^63) to (2^63)-1 
 	%lld 
 
unsigned long long int 
 	8 
 	0 to 18,446,744,073,709,551,615 
 	%llu 
 
signed char 
 	1 
 	-128 to 127 
 	%c 
 
unsigned char 
 	1 
 	0 to 255 
 	%c 
 
float 
 	4 
 	 	%f 
 
double 
 	8 
 	 	%lf 
 
long double 
 	16 
 	 	%Lf 

data-types

#include <stdio.h>
int main ( )
{
      float floatvalue = 8.25;
      printf ("%d
 " , (int) floatvalue);
      return 0;
}

data-types

#include <stdio.h>
int main ( )
{
     printf ("%d %d %d
" , sizeof(2.19f), sizeof(2.19), sizeof (2.19l));
     return 0 ;
}

data-types

#include <stdio.h>
int main ( )
{
     printf ("%d %d %d
" , sizeof(2.19f), sizeof(2.19), sizeof (2.19l));
     return 0 ;
}

data-types

#include <stdio.h>
int main ( ) 
{
    float n = 5.375 ;
    printf("%f %e %E
" , n, n, n) ;
    return 0 ;
}

data-types

#include <stdio.h>
int main()
{
   char chr;
   chr = 128;
   printf("%d
", chr);
   return 0;
}

data type

#the basics of python system.
         #numeric -int,float,complex,bool
         #sequences- list,tuple,set,string,range
         #loops - for and while
         #condition- ==,<,>,<=,>=
         #functions(methods)
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