
- 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 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
- Python - OS Path Methods
- Object Oriented Programming
- Python - OOPs Concepts
- Python - Classes & Objects
- 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 Advanced Concepts
- Python - Abstract Base Classes
- Python - Custom Exceptions
- Python - Higher Order Functions
- Python - Object Internals
- Python - Memory Management
- Python - Metaclasses
- Python - Metaprogramming with Metaclasses
- Python - Mocking and Stubbing
- Python - Monkey Patching
- Python - Signal Handling
- Python - Type Hints
- Python - Automation Tutorial
- Python - Humanize Package
- Python - Context Managers
- Python - Coroutines
- Python - Descriptors
- Python - Diagnosing and Fixing Memory Leaks
- Python - Immutable Data Structures
- Python Useful Resources
- Python - Questions & Answers
- Python - Interview Questions & Answers
- Python - Online Quiz
- Python - Quick Guide
- Python - Reference
- Python - Cheatsheet
- Python - Projects
- Python - Useful Resources
- Python - Discussion
- Python Compiler
- NumPy Compiler
- Matplotlib Compiler
- SciPy Compiler
Python math.comb() Method
The Python math.comb() method is used to calculate the number of combinations of "k" items chosen from a set of "n" items, where order does not matter, and repetition is not allowed.
Mathematically, the number of combinations is represented by the binomial coefficient, often denoted as C(n,k), and is calculated using the formula −
C(n,k) = n!/k!(n-k)!
Where,
- n is the total number of items in the set.
- k is the number of items to be selected from the set.
- n! represents the factorial of n, i.e. the product of all positive integers up to n.
Syntax
Following is the basic syntax of the Python math.comb() method −
math.comb(n, k)
Parameters
This method accepts the following parameters −
n − This is an integer representing the total number of items.
k − This is an integer representing the number of items to choose.
Return Value
The method returns an integer value representing the number of combinations of choosing k items from n items.
Example 1
In the following example, we are calculating the number of combinations of 2 items chosen from a set of 5 items −
import math result = math.comb(5, 2) print("The result obtained is:",result)
Output
The output obtained is as follows −
The result obtained is: 10
Example 2
Here, we are calculating the number of combinations of 0 items chosen from a set of 6 items, which equals 1. This is because there is only one way to choose zero items from a set −
import math result = math.comb(6, 0) print("The result obtained is:",result)
Output
Following is the output of the above code −
The result obtained is: 1
Example 3
In this example, we use variables "n" and "k" to represent the number of items in the set and the number of items to choose, respectively. We then calculate the number of combinations accordingly −
import math n = 8 k = 3 result = math.comb(n, k) print("The result obtained is:",result)
Output
We get the output as shown below −
The result obtained is: 56
Example 4
The math.comb() method automatically retrieves the result as an integer, even if the arguments are fractional.
Now, we calculate the number of combinations of 2 items chosen from a set of 7 items −
import math result = math.comb(7, 2) print("The result obtained is:",result)
Output
The result produced is as shown below −
The result obtained is: 21