Python Data types

Python Data types

All data values in Python are objects and each object or value has type. Python has Built-in or Fundamental data types such as Number, String, Boolean, tuples, lists and dictionaries.

1. Number Data type

The built-in number objects in Python supports integers, floating point numbers and complex numbers.

Integer Data can be decimal, octal or hexadecimal. Octal integer use O (both upper and lower case) to denote octal digits and hexadecimal integer use OX (both upper and lower case) and L (only upper case) to denote long integer.

Example :

102, 4567, 567     # Decimal integers

O102, o876, O432         # Octal integers

OX102, oX876, OX432 # Hexadecimal integers

34L, 523L   # Long decimal integers

A floating point data is represented by a sequence of decimal digits that includes a decimal point. An Exponent data contains decimal digit part, decimal point, exponent part followed by one or more digits.

Example :

123.34, 456.23, 156.23 # Floating point data

12.E04, 24.e04     # Exponent data

Complex number is made up of two floating point values, one each for the real and imaginary parts.

2. Boolean Data type

A Boolean data can have any of the two values: True or False.

Example :

Bool_var1=True

Bool_var2=False

3. String Data type

String data can be enclosed with single quote or double quote or triple quote.

Example :

Char_data = ‘A’

String_data= "Computer Science"

Multiline_data= ”””String data can be enclosed with single quote or  double quote or triple quote.”””