
- 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 len() Function
The Python len() function is a built-in function that is used to determine the length of an object. Here, the object could be a string, a list, a dictionary, or any other iterable.
Please note that the len() only works on objects that are considered to be a collection. If we pass an integer or a float to this function, the interpreter will throw a TypeError.
Syntax
Following is the syntax of the Python len() function −
len(object)
Parameters
The Python len() function accepts a single parameter −
object − It represents an object such as a list, string, or dictionary.
Return Value
The Python len() function returns the length of specified object.
len() Function Examples
Practice the following examples to understand the use of len() function in Python:
Example: String Length Using len() Function
If we pass a string to the len() function, it will retrieve the number of characters in the given string including punctuation, space, and all types of special characters. In the code below, we are defining a string and trying to find its length.
definedStr = "Welcome to Tutorials Point" lengthOfStr = len(definedStr) print("The length of the given string is:", lengthOfStr)
Following is an output of the above code −
The length of the given string is: 26
Example: List Length Using len() Function
Passing a list to the len() function returns the number of items available in that list. The code below demonstrates how to get a total number of elements from the specified list using len() function.
definedList = ["Simply", "Easy", "Learning", "Tutorials", "Point"] lengthOfList = len(definedList) print("The length of the given List is:", lengthOfList)
Output of the above code is as follows −
The length of the given List is: 5
Example: Dictionary Length Using len() Function
Since a dictionary is also a type of collection, it is supported by the len() function. In the following code, we are finding the length of a dictionary.
definedDict = {"OrgName":"Tutorialspoint", "Location":"Hyderabad"} lengthOfDict = len(definedDict) print("The length of the given dictionary is:", lengthOfDict)
Following is the output of the above Python code −
The length of the given dictionary is: 2