Page 166 - Computer Science V2.0 Class 11

Python-Data Types

Numeric Boolean Sequence Type Set None Dictionary

Integer Complex String Tuple

Float List
Fig 7.1: Data Types in Python
7.1.1 Numeric

The numeric data types deal with numbers or numeric values. We can perform arithmetic operations on numeric types
of data. The numeric types include integers, floating point numbers, and complex numbers:
● int (integer): The data type int includes integers. Literals of type int may be positive, negative, or zero. For
example, 1,-29,78, and 0 are values of the int data type. Interestingly, Python does not allow leading zeros.
For example,
>>> 07
SyntaxError: leading zeros in decimal integer literals
are not permitted; use an 0o prefix for octal integers
However, Python does allow the use of octal and hexadecimal integers. An octal integer begins with 0o, followed by
a sequence of digits. For example,
>>> 0o234
156
>>> 0o1000
512
>>> -0o234
-156
>>> -(0o234)
-156
A hexadecimal integer begins with 0x, followed by a sequence of digits. For example,
>>> 0x23
35
>>> -0x128
-296
type()
The function type() returns the type of an object.

Syntax
type(<name> | <value>)
Note that in the above description, a vertical bar denotes an option. Thus, we may like to fetch the type of object that
a name refers to, or we may specify the object directly. For example,
>>> type(123)
<class 'int'>
>>> type(0x123)
<class 'int'>
>>> num = -56
>>> type(num)
<class 'int'>

152 Touchpad Computer Science (Ver. 2.0)-XI