What is change () in python?


Change Item Value

To change the value of a specific item, refer to the index number:

Example

Change the second item:

thislist = ["apple", "banana", "cherry"]
thislist[1] = "blackcurrant"
print(thislist)

Try it Yourself »


Change a Range of Item Values

To change the value of items within a specific range, define a list with the new values, and refer to the range of index numbers where you want to insert the new values:

Example

Change the values "banana" and "cherry" with the values "blackcurrant" and "watermelon":

thislist = ["apple", "banana", "cherry", "orange", "kiwi", "mango"]
thislist[1:3] = ["blackcurrant", "watermelon"]
print(thislist)

Try it Yourself »

If you insert more items than you replace, the new items will be inserted where you specified, and the remaining items will move accordingly:

Example

Change the second value by replacing it with two new values:

thislist = ["apple", "banana", "cherry"]
thislist[1:2] = ["blackcurrant", "watermelon"]
print(thislist)

Try it Yourself »

Note: The length of the list will change when the number of items inserted does not match the number of items replaced.

If you insert less items than you replace, the new items will be inserted where you specified, and the remaining items will move accordingly:

Example

Change the second and third value by replacing it with one value:

thislist = ["apple", "banana", "cherry"]
thislist[1:3] = ["watermelon"]
print(thislist)

Try it Yourself »



Insert Items

To insert a new list item, without replacing any of the existing values, we can use the insert() method.

The insert() method inserts an item at the specified index:

Example

Insert "watermelon" as the third item:

thislist = ["apple", "banana", "cherry"]
thislist.insert(2, "watermelon")
print(thislist)

Try it Yourself »

Note: As a result of the example above, the list will now contain 4 items.



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money + 2 is a no-op. You actually have to assign money to a new value

money = money + 2
# or
money += 2

But then you'll find you get an error - you can't assign to variables outside a function scope. You can use the global keyword:

global money
money += 2

This will allow you to change the value of money within the function.

However, the recommended way is passing money as a parameter:

def gainM(money):
    money += 2
    Stats()
    return money

if money == 1:
    money = gainM(money)

If you're using the second option (which you should be), you also need to change your Stats function, to have a money parameter as well.

def Stats(money):
     print
     print "money " + str(money)

Otherwise the function will print 1 instead of 3.

Another recommendation - use string formatting.

'money %d' % money  # the old way
'money {}'.format(money)  # the new and recommended way

Now you pass money into the Stats function.

def gainM(money):
    money += 2
    Stats(money)
    return money

The “What’s New in Python” series of essays takes tours through the most important changes between major Python versions. They are a “must read” for anyone wishing to stay up-to-date after a new release.

  • What’s New In Python 3.10
    • Summary – Release highlights
    • New Features
    • New Features Related to Type Hints
    • Other Language Changes
    • New Modules
    • Improved Modules
    • Optimizations
    • Deprecated
    • Removed
    • Porting to Python 3.10
    • CPython bytecode changes
    • Build Changes
    • C API Changes
    • Notable security feature in 3.10.7
    • Notable security feature in 3.10.8
  • What’s New In Python 3.9
    • Summary – Release highlights
    • You should check for DeprecationWarning in your code
    • New Features
    • Other Language Changes
    • New Modules
    • Improved Modules
    • Optimizations
    • Deprecated
    • Removed
    • Porting to Python 3.9
    • Build Changes
    • C API Changes
    • Notable changes in Python 3.9.1
    • Notable changes in Python 3.9.2
  • What’s New In Python 3.8
    • Summary – Release highlights
    • New Features
    • Other Language Changes
    • New Modules
    • Improved Modules
    • Optimizations
    • Build and C API Changes
    • Deprecated
    • API and Feature Removals
    • Porting to Python 3.8
    • Notable changes in Python 3.8.1
    • Notable changes in Python 3.8.8
    • Notable changes in Python 3.8.12
  • What’s New In Python 3.7
    • Summary – Release Highlights
    • New Features
    • Other Language Changes
    • New Modules
    • Improved Modules
    • C API Changes
    • Build Changes
    • Optimizations
    • Other CPython Implementation Changes
    • Deprecated Python Behavior
    • Deprecated Python modules, functions and methods
    • Deprecated functions and types of the C API
    • Platform Support Removals
    • API and Feature Removals
    • Module Removals
    • Windows-only Changes
    • Porting to Python 3.7
    • Notable changes in Python 3.7.1
    • Notable changes in Python 3.7.2
    • Notable changes in Python 3.7.6
    • Notable changes in Python 3.7.10
  • What’s New In Python 3.6
    • Summary – Release highlights
    • New Features
    • Other Language Changes
    • New Modules
    • Improved Modules
    • Optimizations
    • Build and C API Changes
    • Other Improvements
    • Deprecated
    • Removed
    • Porting to Python 3.6
    • Notable changes in Python 3.6.2
    • Notable changes in Python 3.6.4
    • Notable changes in Python 3.6.5
    • Notable changes in Python 3.6.7
    • Notable changes in Python 3.6.10
    • Notable changes in Python 3.6.13
  • What’s New In Python 3.5
    • Summary – Release highlights
    • New Features
    • Other Language Changes
    • New Modules
    • Improved Modules
    • Other module-level changes
    • Optimizations
    • Build and C API Changes
    • Deprecated
    • Removed
    • Porting to Python 3.5
    • Notable changes in Python 3.5.4
  • What’s New In Python 3.4
    • Summary – Release Highlights
    • New Features
    • New Modules
    • Improved Modules
    • CPython Implementation Changes
    • Deprecated
    • Removed
    • Porting to Python 3.4
    • Changed in 3.4.3
  • What’s New In Python 3.3
    • Summary – Release highlights
    • PEP 405: Virtual Environments
    • PEP 420: Implicit Namespace Packages
    • PEP 3118: New memoryview implementation and buffer protocol documentation
    • PEP 393: Flexible String Representation
    • PEP 397: Python Launcher for Windows
    • PEP 3151: Reworking the OS and IO exception hierarchy
    • PEP 380: Syntax for Delegating to a Subgenerator
    • PEP 409: Suppressing exception context
    • PEP 414: Explicit Unicode literals
    • PEP 3155: Qualified name for classes and functions
    • PEP 412: Key-Sharing Dictionary
    • PEP 362: Function Signature Object
    • PEP 421: Adding sys.implementation
    • Using importlib as the Implementation of Import
    • Other Language Changes
    • A Finer-Grained Import Lock
    • Builtin functions and types
    • New Modules
    • Improved Modules
    • Optimizations
    • Build and C API Changes
    • Deprecated
    • Porting to Python 3.3
  • What’s New In Python 3.2
    • PEP 384: Defining a Stable ABI
    • PEP 389: Argparse Command Line Parsing Module
    • PEP 391: Dictionary Based Configuration for Logging
    • PEP 3148: The concurrent.futures module
    • PEP 3147: PYC Repository Directories
    • PEP 3149: ABI Version Tagged .so Files
    • PEP 3333: Python Web Server Gateway Interface v1.0.1
    • Other Language Changes
    • New, Improved, and Deprecated Modules
    • Multi-threading
    • Optimizations
    • Unicode
    • Codecs
    • Documentation
    • IDLE
    • Code Repository
    • Build and C API Changes
    • Porting to Python 3.2
  • What’s New In Python 3.1
    • PEP 372: Ordered Dictionaries
    • PEP 378: Format Specifier for Thousands Separator
    • Other Language Changes
    • New, Improved, and Deprecated Modules
    • Optimizations
    • IDLE
    • Build and C API Changes
    • Porting to Python 3.1
  • What’s New In Python 3.0
    • Common Stumbling Blocks
    • Overview Of Syntax Changes
    • Changes Already Present In Python 2.6
    • Library Changes
    • PEP 3101: A New Approach To String Formatting
    • Changes To Exceptions
    • Miscellaneous Other Changes
    • Build and C API Changes
    • Performance
    • Porting To Python 3.0
  • What’s New in Python 2.7
    • The Future for Python 2.x
    • Changes to the Handling of Deprecation Warnings
    • Python 3.1 Features
    • PEP 372: Adding an Ordered Dictionary to collections
    • PEP 378: Format Specifier for Thousands Separator
    • PEP 389: The argparse Module for Parsing Command Lines
    • PEP 391: Dictionary-Based Configuration For Logging
    • PEP 3106: Dictionary Views
    • PEP 3137: The memoryview Object
    • Other Language Changes
    • New and Improved Modules
    • Build and C API Changes
    • Other Changes and Fixes
    • Porting to Python 2.7
    • New Features Added to Python 2.7 Maintenance Releases
    • Acknowledgements
  • What’s New in Python 2.6
    • Python 3.0
    • Changes to the Development Process
    • PEP 343: The ‘with’ statement
    • PEP 366: Explicit Relative Imports From a Main Module
    • PEP 370: Per-user site-packages Directory
    • PEP 371: The multiprocessing Package
    • PEP 3101: Advanced String Formatting
    • PEP 3105: print As a Function
    • PEP 3110: Exception-Handling Changes
    • PEP 3112: Byte Literals
    • PEP 3116: New I/O Library
    • PEP 3118: Revised Buffer Protocol
    • PEP 3119: Abstract Base Classes
    • PEP 3127: Integer Literal Support and Syntax
    • PEP 3129: Class Decorators
    • PEP 3141: A Type Hierarchy for Numbers
    • Other Language Changes
    • New and Improved Modules
    • Deprecations and Removals
    • Build and C API Changes
    • Porting to Python 2.6
    • Acknowledgements
  • What’s New in Python 2.5
    • PEP 308: Conditional Expressions
    • PEP 309: Partial Function Application
    • PEP 314: Metadata for Python Software Packages v1.1
    • PEP 328: Absolute and Relative Imports
    • PEP 338: Executing Modules as Scripts
    • PEP 341: Unified try/except/finally
    • PEP 342: New Generator Features
    • PEP 343: The ‘with’ statement
    • PEP 352: Exceptions as New-Style Classes
    • PEP 353: Using ssize_t as the index type
    • PEP 357: The ‘__index__’ method
    • Other Language Changes
    • New, Improved, and Removed Modules
    • Build and C API Changes
    • Porting to Python 2.5
    • Acknowledgements
  • What’s New in Python 2.4
    • PEP 218: Built-In Set Objects
    • PEP 237: Unifying Long Integers and Integers
    • PEP 289: Generator Expressions
    • PEP 292: Simpler String Substitutions
    • PEP 318: Decorators for Functions and Methods
    • PEP 322: Reverse Iteration
    • PEP 324: New subprocess Module
    • PEP 327: Decimal Data Type
    • PEP 328: Multi-line Imports
    • PEP 331: Locale-Independent Float/String Conversions
    • Other Language Changes
    • New, Improved, and Deprecated Modules
    • Build and C API Changes
    • Porting to Python 2.4
    • Acknowledgements
  • What’s New in Python 2.3
    • PEP 218: A Standard Set Datatype
    • PEP 255: Simple Generators
    • PEP 263: Source Code Encodings
    • PEP 273: Importing Modules from ZIP Archives
    • PEP 277: Unicode file name support for Windows NT
    • PEP 278: Universal Newline Support
    • PEP 279: enumerate()
    • PEP 282: The logging Package
    • PEP 285: A Boolean Type
    • PEP 293: Codec Error Handling Callbacks
    • PEP 301: Package Index and Metadata for Distutils
    • PEP 302: New Import Hooks
    • PEP 305: Comma-separated Files
    • PEP 307: Pickle Enhancements
    • Extended Slices
    • Other Language Changes
    • New, Improved, and Deprecated Modules
    • Pymalloc: A Specialized Object Allocator
    • Build and C API Changes
    • Other Changes and Fixes
    • Porting to Python 2.3
    • Acknowledgements
  • What’s New in Python 2.2
    • Introduction
    • PEPs 252 and 253: Type and Class Changes
    • PEP 234: Iterators
    • PEP 255: Simple Generators
    • PEP 237: Unifying Long Integers and Integers
    • PEP 238: Changing the Division Operator
    • Unicode Changes
    • PEP 227: Nested Scopes
    • New and Improved Modules
    • Interpreter Changes and Fixes
    • Other Changes and Fixes
    • Acknowledgements
  • What’s New in Python 2.1
    • Introduction
    • PEP 227: Nested Scopes
    • PEP 236: __future__ Directives
    • PEP 207: Rich Comparisons
    • PEP 230: Warning Framework
    • PEP 229: New Build System
    • PEP 205: Weak References
    • PEP 232: Function Attributes
    • PEP 235: Importing Modules on Case-Insensitive Platforms
    • PEP 217: Interactive Display Hook
    • PEP 208: New Coercion Model
    • PEP 241: Metadata in Python Packages
    • New and Improved Modules
    • Other Changes and Fixes
    • Acknowledgements
  • What’s New in Python 2.0
    • Introduction
    • What About Python 1.6?
    • New Development Process
    • Unicode
    • List Comprehensions
    • Augmented Assignment
    • String Methods
    • Garbage Collection of Cycles
    • Other Core Changes
    • Porting to 2.0
    • Extending/Embedding Changes
    • Distutils: Making Modules Easy to Install
    • XML Modules
    • Module changes
    • New modules
    • IDLE Improvements
    • Deleted and Deprecated Modules
    • Acknowledgements

The “Changelog” is an HTML version of the file built from the contents of the Misc/NEWS.d directory tree, which contains all nontrivial changes to Python for the current version.

  • Changelog
    • Python next
    • Python 3.10.7 final
    • Python 3.10.6 final
    • Python 3.10.5 final
    • Python 3.10.4 final
    • Python 3.10.3 final
    • Python 3.10.2 final
    • Python 3.10.1 final
    • Python 3.10.0 final
    • Python 3.10.0 release candidate 2
    • Python 3.10.0 release candidate 1
    • Python 3.10.0 beta 4
    • Python 3.10.0 beta 3
    • Python 3.10.0 beta 2
    • Python 3.10.0 beta 1
    • Python 3.10.0 alpha 7
    • Python 3.10.0 alpha 6
    • Python 3.10.0 alpha 5
    • Python 3.10.0 alpha 4
    • Python 3.10.0 alpha 3
    • Python 3.10.0 alpha 2
    • Python 3.10.0 alpha 1
    • Python 3.9.0 beta 1
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    • Python 3.8.0 alpha 1
    • Python 3.7.0 final
    • Python 3.7.0 release candidate 1
    • Python 3.7.0 beta 5
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    • Python 3.7.0 beta 2
    • Python 3.7.0 beta 1
    • Python 3.7.0 alpha 4
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    • Python 3.7.0 alpha 1
    • Python 3.6.6 final
    • Python 3.6.6 release candidate 1
    • Python 3.6.5 final
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    • Python 3.6.2 release candidate 2
    • Python 3.6.2 release candidate 1
    • Python 3.6.1 final
    • Python 3.6.1 release candidate 1
    • Python 3.6.0 final
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    • Python 3.6.0 release candidate 1
    • Python 3.6.0 beta 4
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    • Python 3.6.0 beta 1
    • Python 3.6.0 alpha 4
    • Python 3.6.0 alpha 3
    • Python 3.6.0 alpha 2
    • Python 3.6.0 alpha 1
    • Python 3.5.5 final
    • Python 3.5.5 release candidate 1
    • Python 3.5.4 final
    • Python 3.5.4 release candidate 1
    • Python 3.5.3 final
    • Python 3.5.3 release candidate 1
    • Python 3.5.2 final
    • Python 3.5.2 release candidate 1
    • Python 3.5.1 final
    • Python 3.5.1 release candidate 1
    • Python 3.5.0 final
    • Python 3.5.0 release candidate 4
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    • Python 3.5.0 release candidate 1
    • Python 3.5.0 beta 4
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    • Python 3.5.0 beta 1
    • Python 3.5.0 alpha 4
    • Python 3.5.0 alpha 3
    • Python 3.5.0 alpha 2
    • Python 3.5.0 alpha 1

How do you change a list in Python?

List in python is mutable types which means it can be changed after assigning some value. The list is similar to arrays in other programming languages..
Change first element mylist[0]=value..
Change third element mylist[2]=value..
Change fourth element mylist[3]=value..

Can you change a variable in Python?

Some values in python can be modified, and some cannot. This does not ever mean that we can't change the value of a variable – but if a variable contains a value of an immutable type, we can only assign it a new value. We cannot alter the existing value in any way.

What is this := in Python?

There is new syntax := that assigns values to variables as part of a larger expression. It is affectionately known as “the walrus operator” due to its resemblance to the eyes and tusks of a walrus.

How do you change a variable in a function Python?

Use of “global†keyword to modify global variable inside a function. If your function has a local variable with same name as global variable and you want to modify the global variable inside function then use 'global' keyword before the variable name at start of function i.e.