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int

The built-in int data type represents integer numbers, which are whole numbers without any decimal places. Integers can be positive, negative, or zero. They’re typically used for counting, indexing, or when you need to perform arithmetic operations that don’t require fractions:

Python 
>>> number = 42
>>> type(number)
<class 'int'>
>>> negative = -5
>>> zero = 0

int Constructors

Python Syntax 
int(number=0)
int(string, base=10)

Arguments

Argument Description Default Value
number A numeric type or object that can be converted to an integer. 0
string A string representing an integer in a given base. Required
base The base of the number in string. Only valid if the first argument is a string. Valid bases are 0 and 2–36. 10

Return Value

  • Returns a Python int object

int Examples

Creating a zero integer by calling int() without arguments or a literal:

Python 
>>> int()
0
>>> 0
0

Creating integer instances using literals in various bases:

Python 
>>> decimal = 42
>>> binary = 0b101010
>>> octal = 0o52
>>> hexadecimal = 0x2A

>>> decimal, binary, octal, hexadecimal
(42, 42, 42, 42)

Creating an integer using the class constructor:

Python 
>>> int("101010", 2)
42

int Methods

Method Description
.as_integer_ratio() Returns a pair of integers representing the ratio of the integer and 1.
.bit_count() Returns the number of ones in the binary representation of the integer.
.bit_length() Returns the number of bits required to represent the integer in binary.
.from_bytes() Returns the integer represented by an array of bytes.
.to_bytes() Returns an array of bytes representing the integer.
.is_integer() Returns True (mainly for compatibility with floating-point numbers).

int Common Use Cases

The most common use cases for the int data type include:

  • Counting items or occurrences
  • Indexing elements in a list or other collections
  • Performing arithmetic operations
  • Representing numerical data in various bases

int Real-World Example

Consider an example where you need to convert a list of strings of binary numbers to their decimal integer equivalents. This is a common requirement when dealing with data encoded in binary format:

Python 
>>> binary_strings = ["1101", "1010", "1111"]
>>> decimal_numbers = [int(b, 2) for b in binary_strings]
>>> decimal_numbers
[13, 10, 15]

In this example, the int data type is essential for converting binary strings into decimal numbers, allowing you to perform further calculations or analyses on the data.

Numbers in Python

Tutorial

Numbers in Python

In this tutorial, you'll learn about numbers and basic math in Python. You'll explore integer, floating-point numbers, and complex numbers and see how perform calculations using Python's arithmetic operators, math functions, and number methods.

basics python

For additional information on related topics, take a look at the following resources:

By Leodanis Pozo Ramos • Updated March 24, 2025 • Reviewed by Brenda Weleschuk and Dan Bader
Python’s Built-in Data Types Share Feedback