---
title: Python Integers
---
The theoretical domain for integers in python is negative infinity to infinity. In practice, integer values are limited by the amount of available memory.
In Python 2, there was a distinction between **`int`**, numbers that fit in a 32 or 64 bit _C long_, and **`long`**, numbers limited by available memory. Python 3 unified the two types into just **`int`**, more info in PEP 237.
**`int` creation using integer literals**
Integer Literals
_Integer objects_ can be created using using integer literals. Unadorned numbers without decimals are integer literals:
    >>> 1234567890           # Unadorned numbers are integer literals
    1234567890
    >>> type(1234567890)
    
Numeric literals do not contain a sign, however creating negative _integer objects_ is possible by prefixing with a unary `-` (minus) operator with no space before the literal:
    >>> -1234567890
    -1234567890
    >>> type(-1234567890)
    
Likewise, positive integer objects can be created by prefixing a unary `+` (plus) operator with no space before the digits. Usually `+` is ommited:
    >>> +1234
    1234
Binary (base 2, prefix: `0b` or `0B`), octal (base 8, prefix: `0o` or `0O`), and hexadecimal (base 16, prefix: `0x` or `0X`) integers can also be created using integer literals:
    >>> 0b1, 0b10, 0b11
    (1, 2, 3)
    >>> 0o1, 0o10, 0o11
    (1, 8, 9)
    >>> 0x1, 0x10, 0x11
    (1, 16, 17)
Note that leading 0's for non-zero integer literals are **not allowed**:
    >>> 0     # Zero by itself is okay.
    0
    >>> 01    # Leading zero(s) cause SyntaxError.
      File "", line 1
        01
         ^
    SyntaxError: invalid token
The `int` constructor is another way to create _integer objects_.
    class int(x=0)
    class int(x, base=10)
Creating _integer objects_ with integer literals is preferred when possible:
    >>> a = 1         # Prefer integer literal when possible.
    >>> type(a)
    
    >>> b = int(1)    # Works but unnecessary.
    >>> type(b)
    
However, the constructor allows for creating _integer objects_ from other number types:
    >>> a = 1.123
    >>> type(a)
    
    >>> print(a)
    1.123
    >>> b = int(1.123)
    >>> type(b)
    
    >>> print(b)
    1
Using the `int` constructor for floating point numbers will truncate the number towards zero:
    >>> int(-1.23)
    -1
    >>> int(1.23)
    1
The built-in `boolean` constants are instances of the `bool` class, and are subclasses of the `int` class, making them a kind of numeric type:
    >>> type(True)
    
    >>> issubclass(bool, int)
    True
If that doesn't make sense to you, don't worry. For now just remember that calling the int constructor with `boolean` objects will return _integer objects_:
    >>> int(True)
    1
    >>> int(False)
    0
The `int` constructor will also make _integer objects_ from strings:
    >>> a = "10"
    >>> type(a)
    
    >>> b = int("10")
    >>> type(b)
    
_Strings_ for the `int` constructor must represent an integer literal:
The second parameter of the `int` constructor is to specify a base (default: 10). Valid bases are 0 and 2-36.
If an explicit base is provided the first argument must be a string.
    >>> int("111", 2)
    7
    >>> int(111, 2)
    Traceback (most recent call last):
      File "", line 1, in 
    TypeError: int() can't convert non-string with explicit base
The string used for the `int` constructor with an explicit base must be a valid integer literal for that base:
    >>> int('11', 2)
    3
    >>> int('12', 2)
    Traceback (most recent call last):
      File "", line 1, in 
    ValueError: invalid literal for int() with base 2: '12'
Both prefixed and non-prefixed strings of integer literals can be used, however, if used, the prefix must match the provided base.
    >>> int('1101', 2)
    13
    >>> int('0b1101', 2)
    13
    >>> int('0x1101', 2)
    Traceback (most recent call last):
      File "", line 1, in 
    ValueError: invalid literal for int() with base 2: '0x1101'
If a prefixed string and base 0 is used, the created integer object will use the base specified by the prefix. If no prefix is used, then the base is assumed 10
    >>> int('100', 0)
    100
    >>> int('0b100', 0)
    4
    >>> int('0o100', 0)
    64