- Python Basics
- Python - Home
- Python - Overview
- Python - History
- Python - Features
- Python vs C++
- Python - Hello World Program
- Python - Application Areas
- Python - Interpreter
- Python - Environment Setup
- Python - Virtual Environment
- Python - Basic Syntax
- Python - Variables
- Python - Data Types
- Python - Type Casting
- Python - Unicode System
- Python - Literals
- Python - Operators
- Python - Arithmetic Operators
- Python - Comparison Operators
- Python - Assignment Operators
- Python - Logical Operators
- Python - Bitwise Operators
- Python - Membership Operators
- Python - Identity Operators
- Python - Operator Precedence
- Python - Comments
- Python - User Input
- Python - Numbers
- Python - Booleans
- Python Control Statements
- Python - Control Flow
- Python - Decision Making
- Python - If Statement
- Python - If else
- Python - Nested If
- Python - Match-Case Statement
- Python - Loops
- Python - for Loops
- Python - for-else Loops
- Python - While Loops
- Python - break Statement
- Python - continue Statement
- Python - pass Statement
- Python - Nested Loops
- Python Functions & Modules
- Python - Functions
- Python - Default Arguments
- Python - Keyword Arguments
- Python - Keyword-Only Arguments
- Python - Positional Arguments
- Python - Positional-Only Arguments
- Python - Arbitrary Arguments
- Python - Variables Scope
- Python - Function Annotations
- Python - Modules
- Python - Built in Functions
- Python Strings
- Python - Strings
- Python - Slicing Strings
- Python - Modify Strings
- Python - String Concatenation
- Python - String Formatting
- Python - Escape Characters
- Python - String Methods
- Python - String Exercises
- Python Lists
- Python - Lists
- Python - Access List Items
- Python - Change List Items
- Python - Add List Items
- Python - Remove List Items
- Python - Loop Lists
- Python - List Comprehension
- Python - Sort Lists
- Python - Copy Lists
- Python - Join Lists
- Python - List Methods
- Python - List Exercises
- Python Tuples
- Python - Tuples
- Python - Access Tuple Items
- Python - Update Tuples
- Python - Unpack Tuples
- Python - Loop Tuples
- Python - Join Tuples
- Python - Tuple Methods
- Python - Tuple Exercises
- Python Sets
- Python - Sets
- Python - Access Set Items
- Python - Add Set Items
- Python - Remove Set Items
- Python - Loop Sets
- Python - Join Sets
- Python - Copy Sets
- Python - Set Operators
- Python - Set Methods
- Python - Set Exercises
- Python Dictionaries
- Python - Dictionaries
- Python - Access Dictionary Items
- Python - Change Dictionary Items
- Python - Add Dictionary Items
- Python - Remove Dictionary Items
- Python - Dictionary View Objects
- Python - Loop Dictionaries
- Python - Copy Dictionaries
- Python - Nested Dictionaries
- Python - Dictionary Methods
- Python - Dictionary Exercises
- Python Arrays
- Python - Arrays
- Python - Access Array Items
- Python - Add Array Items
- Python - Remove Array Items
- Python - Loop Arrays
- Python - Copy Arrays
- Python - Reverse Arrays
- Python - Sort Arrays
- Python - Join Arrays
- Python - Array Methods
- Python - Array Exercises
- Python File Handling
- Python - File Handling
- Python - Write to File
- Python - Read Files
- Python - Renaming and Deleting Files
- Python - Directories
- Python - File Methods
- Python - OS File/Directory Methods
- Object Oriented Programming
- Python - OOPs Concepts
- Python - Object & Classes
- Python - Class Attributes
- Python - Class Methods
- Python - Static Methods
- Python - Constructors
- Python - Access Modifiers
- Python - Inheritance
- Python - Polymorphism
- Python - Method Overriding
- Python - Method Overloading
- Python - Dynamic Binding
- Python - Dynamic Typing
- Python - Abstraction
- Python - Encapsulation
- Python - Interfaces
- Python - Packages
- Python - Inner Classes
- Python - Anonymous Class and Objects
- Python - Singleton Class
- Python - Wrapper Classes
- Python - Enums
- Python - Reflection
- Python Errors & Exceptions
- Python - Syntax Errors
- Python - Exceptions
- Python - try-except Block
- Python - try-finally Block
- Python - Raising Exceptions
- Python - Exception Chaining
- Python - Nested try Block
- Python - User-defined Exception
- Python - Logging
- Python - Assertions
- Python - Built-in Exceptions
- Python Multithreading
- Python - Multithreading
- Python - Thread Life Cycle
- Python - Creating a Thread
- Python - Starting a Thread
- Python - Joining Threads
- Python - Naming Thread
- Python - Thread Scheduling
- Python - Thread Pools
- Python - Main Thread
- Python - Thread Priority
- Python - Daemon Threads
- Python - Synchronizing Threads
- Python Synchronization
- Python - Inter-thread Communication
- Python - Thread Deadlock
- Python - Interrupting a Thread
- Python Networking
- Python - Networking
- Python - Socket Programming
- Python - URL Processing
- Python - Generics
- Python Libraries
- NumPy Tutorial
- Pandas Tutorial
- SciPy Tutorial
- Matplotlib Tutorial
- Django Tutorial
- OpenCV Tutorial
- Python Miscellenous
- Python - Date & Time
- Python - Maths
- Python - Iterators
- Python - Generators
- Python - Closures
- Python - Decorators
- Python - Recursion
- Python - Reg Expressions
- Python - PIP
- Python - Database Access
- Python - Weak References
- Python - Serialization
- Python - Templating
- Python - Output Formatting
- Python - Performance Measurement
- Python - Data Compression
- Python - CGI Programming
- Python - XML Processing
- Python - GUI Programming
- Python - Command-Line Arguments
- Python - Docstrings
- Python - JSON
- Python - Sending Email
- Python - Further Extensions
- Python - Tools/Utilities
- Python - GUIs
- Python Useful Resources
- Python Compiler
- NumPy Compiler
- Matplotlib Compiler
- SciPy Compiler
- Python - Programming Examples
- Python - Quick Guide
- Python - Useful Resources
- Python - Discussion
Python long() Function
The Python long() function is used to represent integers of arbitrary size, allowing you to work with extremely large numbers that exceeded the limits of regular integers.
The long() function from Python 2 has been deprecated in Python 3. Instead, Python 3 uses the built-in int() function, which can handle arbitrarily large integers.
Syntax
Following is the syntax of Python long() function −
long(x [,base])
Parameters
This function takes two parameters as shown below −
x − It represents the value that you want to convert to a long integer.
base (optional) − It specifies the base of the number in 'x'. It can be any integer from 2 to 36. If not provided, the default base is "10".
Return Value
This function returns a long object.
Example
Following is an example of the Python long() function. Here, we have a large integer "number". We use the long() function to explicitly convert it into a long integer −
number = 123456789012345678901234567890 long_number = long(number) print('The long value obtained is:',long_number)
Output
Following is the output of the above code −
('The long value obtained is:', 123456789012345678901234567890L)
Example
Here, we are converting a string representation of a large number into a long integer using the long() function −
string_number = "987654321098765432109876543210" long_number = long(string_number) print('The long value obtained is:',long_number)
Output
Output of the above code is as follows −
('The long value obtained is:', 987654321098765432109876543210L)
Example
Now, we are performing arithmetic operations with long integers, explicitly using the long() function for conversion −
num1 = 123456789012345678901234567890 num2 = 987654321098765432109876543210 result = long(num1) + long(num2) print('The addition of the long value obtained is:',result)
Output
The result obtained is as shown below −
('The addition of the long value obtained is:', 1111111110111111111011111111100L)
Example
In Python 2, we can use regular integers and long integers together in expressions. In this example, we combine (add) a regular integer with a long integer "num1" −
regular_integer = 42 num1 = 123456789012345678901234567890 combined_result = regular_integer + long(num1) print('The long value obtained is:',combined_result)
Output
We get the output as shown below −
('The long value obtained is:', 123456789012345678901234567932L)
Example
In the example below, the result of a large exponentiation operation automatically gets promoted to a long integer, displaying the automatic handling of long integers in Python 2 −
small_number = 12345 result = small_number ** 20 print('The long value obtained is:',result)
Output
The output produced is as follows −
('The long value obtained is:', 6758057543099832246538913025974955939211204840442478677426191001091098785400390625L)