Difference Between Local And Global Scope In Python
Understanding Scope in Python: Local vs Global
Difference Between Local And Global Scope In Python
In Python, a variable's scope refers to where in the code it is accessible. Local scope refers to variables that are defined within a specific function and can only be accessed within that function. Global scope, on the other hand, refers to variables that are defined outside of any function and can be accessed from any part of the code. Variables in global scope can be accessed and modified within functions by using the “global” keyword, while variables in local scope are limited in their accessibility to the specific function in which they are defined.
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1 - Local scope in Python:
Local scope refers to variables and objects that are defined within a function or a specific block of code. They are only accessible within that function or block.
2) Global scope in Python:
Global scope refers to variables and objects that are defined outside of any function or block of code. They can be accessed and modified from anywhere in the program.
3) Variables in local scope:
Variables defined within a function or block have a local scope and can only be accessed within that function or block.
4) Variables in global scope:
Variables defined outside of any function have a global scope and can be accessed and modified from anywhere in the program.
5) Scope hierarchy:
Local scope takes precedence over global scope. If a variable with the same name exists in both local and global scopes, the local variable will be used within the function or block.
6) Modifying global variables from local scope:
To modify a global variable from within a function, you need to use the `global` keyword to indicate that you are referring to the global variable.
7) Encapsulation and code organization:
Using local scope allows for better encapsulation and organization of code by keeping variables specific to a function or block of code.
8) Avoiding naming conflicts:
Using local scope helps in avoiding naming conflicts between variables in different parts of the code, as variables with the same name can exist in different scopes without interfering with each other.
9) Variable lifespan:
Variables in local scope have a shorter lifespan and are destroyed once the function or block of code they are defined in is executed, while global variables persist throughout the execution of the program.
10) Training program approach:
When offering a training program to students, it is important to emphasize the concept of local and global scope in Python to help them understand how variables are accessed and managed within different parts of a program. This knowledge is crucial for writing efficient and organized code.
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